Preprints of Publications and Submissions

Mykola Pechenizkiy

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book chapter Žliobaite, I., Pechenizkiy, M. & Gama, J. (2016) "An overview of concept drift applications", In Big Data Analysis: New Algorithms for a New Society, pp. 91-114. Springer.
BibTeX:
@incollection{zliobaite2015appsCD,
  author = {Indre Žliobaite and Mykola Pechenizkiy and Joao Gama},
  title = {An overview of concept drift applications},
  booktitle = {Big Data Analysis: New Algorithms for a New Society},
  publisher = {Springer},
  year = {2016},
  pages = {91-114},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZliobaiteCDApps2015.pdf}
}
conference Maslov, A., Pechenizkiy, M., Žliobaite, I. & Kärkkäinen, T. (2016) "Modelling Recurrent Events for Improving Online Change Detection", In SIAM International Conference on Data Mining (SDM16). SIAM.
BibTeX:
@inproceedings{MaslovSDM2016,
  author = {Alexandr Maslov and Mykola Pechenizkiy and Indre Žliobaite and Tommi Kärkkäinen},
  title = {Modelling Recurrent Events for Improving Online Change Detection},
  booktitle = {SIAM International Conference on Data Mining (SDM16)},
  publisher = {SIAM},
  year = {2016},
  doi = {http://doi.acm.org/10.1145/1601966.1601972},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/MaslovSDM2016.pdf}
}
journal Luna, J.M., Pechenizkiy, M. & Ventura, S. (2016) "Mining Exceptional Relationships with Grammar-Guided Genetic Programming", Knowledge and Information Systems. Vol. 47, pp. 571–594.
BibTeX:
@article{Luna_KAIS2015,
  author = {Jose Maria Luna and Mykola Pechenizkiy and Sebastián Ventura},
  title = {Mining Exceptional Relationships with Grammar-Guided Genetic Programming},
  journal = {Knowledge and Information Systems},
  year = {2016},
  volume = {47},
  pages = {571–594
}, doi = {http://link.springer.com/article/10.1007/s10115-015-0859-y}, pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MERG3P_KAIS.pdf} }
journal Costante, E., den Hartog, J., Petković, M., Etalle, S. & Pechenizkiy, M. (2016) "A white-box anomaly-based framework for database leakage detection ", Journal of Information Security and Applications .
BibTeX:
@article{Costante2016,
  author = {Elisa Costante and J. den Hartog and Milan Petković and Sandro Etalle and Mykola Pechenizkiy},
  title = {A white-box anomaly-based framework for database leakage detection },
  journal = {Journal of Information Security and Applications },
  year = {2016},
  url = {http://www.sciencedirect.com/science/article/pii/S2214212616302629},
  doi = {http://dx.doi.org/10.1016/j.jisa.2016.10.001},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/Costante2016_JISA.pdf}
}
conference Heeswijk, W. v., Fletcher, G.H.L. & Pechenizkiy, M. (2016) "On structure preserving sampling and approximate partitioning of graphs", In The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DS Track. ACM Press.
BibTeX:
@inproceedings{HeeswijkSAC2016,
  author = {Wouter van Heeswijk and George H. L. Fletcher and Mykola Pechenizkiy},
  title = {On structure preserving sampling and approximate partitioning of graphs},
  booktitle = {The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DS Track},
  publisher = {ACM Press},
  year = {2016},
  doi = {http://dx.doi.org/10.1145/2851613.2851650},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/HeeswijkSAC2016.pdf}
}
journal Luna, J.M., Cano, A., Pechenizkiy, M. & Ventura, S. (2016) "Speeding-Up Association Rule Mining With Inverted Index Compression", IEEE Transactions on Cybernetics.
BibTeX:
@article{,
  author = {José María Luna and Alberto Cano and Mykola Pechenizkiy and Sebastián Ventura},
  title = {Speeding-Up Association Rule Mining With Inverted Index Compression},
  journal = {IEEE Transactions on Cybernetics},
  year = {2016},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/LunaCYB2016.pdf}
}
conference Maslov, A., Lam, H.T., Pechenizkiy, M., Bouillet, E. & Kärkkäinen, T. (2016) "DOBRO: A Prediction Error Correcting Robot Under Drifts", In The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DS Track, pp. 945-948. ACM Press.
BibTeX:
@inproceedings{MaslovSAC2016,
  author = {Alexandr Maslov and Hoang Thanh Lam and Mykola Pechenizkiy and Eric Bouillet and Tommi Kärkkäinen},
  title = {DOBRO: A Prediction Error Correcting Robot Under Drifts},
  booktitle = {The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DS Track},
  publisher = {ACM Press},
  year = {2016},
  pages = {945--948},
  doi = {http://dx.doi.org/10.1145/2851613.2851888},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MaslovSAC2016.pdf}
}
demo Nieuwenhuijse, A., Bakker, J. & Pechenizkiy, M. (2016) "Finding Incident-Related Social Media Messages for Emergency Awareness", In Machine Learning and Knowledge Discovery in Databases - European Conference,
ECMLPKDD 2016. Vol. "LNCS 9853", pp. 67-70. Springer.
BibTeX:
@inproceedings{DBLP:conf/pkdd/NieuwenhuijseBP16,
  author = {Alexander Nieuwenhuijse and
Jorn Bakker and
Mykola Pechenizkiy}, title = {Finding Incident-Related Social Media Messages for Emergency Awareness}, booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference,
ECMLPKDD 2016}, publisher = {Springer}, year = {2016}, volume = {"LNCS 9853"}, pages = {67--70}, url = {http://dx.doi.org/10.1007/978-3-319-46131-1_15}, doi = {http://dx.doi.org/10.1007/978-3-319-46131-1_15} }
journal Onofri, L., Soda, P., Pechenizkiy, M. & Iannello, G. (2016) "A survey on using domain and contextual knowledge for human activity recognition in video streams ", Expert Systems with Applications . Vol. 63, pp. 97 - 111.
BibTeX:
@article{Onofri201697,
  author = {Leonardo Onofri and Paolo Soda and Mykola Pechenizkiy and Giulio Iannello},
  title = {A survey on using domain and contextual knowledge for human activity recognition in video streams },
  journal = {Expert Systems with Applications },
  year = {2016},
  volume = {63},
  pages = {97 - 111},
  url = {http://www.sciencedirect.com/science/article/pii/S0957417416302913},
  doi = {http://dx.doi.org/10.1016/j.eswa.2016.06.011}
}
workshop Pei, Y., Zhang, J., Fletcher, G.H. & Pechenizkiy, M. (2016) "Node Classification in Dynamic Social Networks", In Proceedings of AALTD 2016: 2nd ECMLPKDD International Workshop on Advanced Analytics and Learning on Temporal Data, pp. 54-93.
BibTeX:
@inproceedings{pei2016node,
  author = {Pei, Yulong and Zhang, Jianpeng and Fletcher, George HL and Pechenizkiy, Mykola},
  title = {Node Classification in Dynamic Social Networks},
  booktitle = {Proceedings of AALTD 2016: 2nd ECMLPKDD International Workshop on Advanced Analytics and Learning on Temporal Data},
  year = {2016},
  pages = {54--93},
  pdf = {https://aaltd16.irisa.fr/files/2016/09/aaltd16_proc.pdf#page=62}
}
conference Zhang, J., Pechenizkiy, M., Pei, Y. & Efremova, J. (2016) "A Robust Density-based Clustering Algorithm for Multi-Manifold Structure", In The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DM Track, pp. 832-838. ACM Press.
BibTeX:
@inproceedings{ZhangSAC2016,
  author = {Jianpeng Zhang and Mykola Pechenizkiy and Yulong Pei and Julia Efremova},
  title = {A Robust Density-based Clustering Algorithm for Multi-Manifold Structure},
  booktitle = {The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DM Track},
  publisher = {ACM Press},
  year = {2016},
  pages = {832--838},
  doi = {http://dx.doi.org/10.1145/2851613.2851644},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/ZhangSAC2016.pdf}
}
conference Ahmadi, N. & Pechenizkiy, M. (2016) "Application of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony", In 29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016, pp. 273-278. IEEE Computer Society.
BibTeX:
@inproceedings{DBLP:conf/cbms/AhmadiP16,
  author = {Negar Ahmadi and Mykola Pechenizkiy},
  title = {Application of Horizontal Visibility Graph as a Robust Measure of  Neurophysiological Signals Synchrony},
  booktitle = {29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016},
  publisher = {IEEE Computer Society},
  year = {2016},
  pages = {273--278},
  url = {http://dx.doi.org/10.1109/CBMS.2016.73},
  doi = {http://dx.doi.org/10.1109/CBMS.2016.73}
}
demo Garcia, A.M., Stash, N., Fabri, M., Bra, P.D., Fletcher, G.H.L. & Pechenizkiy, M. (2016) "WiBAF into a CMS: Personalization in Learning Environments Made Easy", In Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016).
BibTeX:
@inproceedings{DBLP:conf/um/GarciaSFBFP16,
  author = {Alejandro Montes Garcia and Natalia Stash and Marc Fabri and Paul De Bra and George H. L. Fletcher and Mykola Pechenizkiy},
  title = {WiBAF into a CMS: Personalization in Learning Environments Made Easy},
  booktitle = {Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016)},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1618/PALE10.pdf}
}
BibTeX:
@inproceedings{paeds_HPCS2015,
  author = {Mykola Pechenizkiy},
  title = {Predictive Analytics on Evolving Data Streams: Anticipating and Adapting to Changes in Known and Unknown Contexts},
  booktitle = {Proceedings of the 13th Int. Conf. on High Performance Computing and Simulation (HPCS 2015)},
  year = {2015},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PA_EDS_HPCS15.pdf}
}
editorial Pechenizkiy, M. & Gasevic, D. (2015) Introduction into Sparks of the Learning Analytics Future, Journal of Learning Analytics, 1(3), pp. 145-149.
BibTeX:
@article{pechenizkiy2015introduction,
  author = {Pechenizkiy, Mykola and Gasevic, Dragan},
  title = {Introduction into Sparks of the Learning Analytics Future},
  journal = {Journal of Learning Analytics},
  year = {2015},
  volume = {1},
  number = {3},
  pages = {145--149},
  pdf = {http://epress.lib.uts.edu.au/journals/index.php/JLA/article/viewFile/4318/4422}
}
special issue Pechenizkiy, M. & Gasevic, D. (2015) "Sparks of the Learning Analytics Future", Journal of Learning Analytics. Vol. 1(3)
BibTeX:
@proceedings{sparksJLA2015,
  author = {Pechenizkiy, Mykola and Gasevic, Dragan},
  title = {Sparks of the Learning Analytics Future},
  journal = {Journal of Learning Analytics},
  year = {2015},
  volume = {1},
  number = {3},
  doi = {http://epress.lib.uts.edu.au/journals/index.php/JLA/issue/view/336}
}
conference Aravanis, G., Pechenizkiy, M. & Bucur, A. (2015) "Hippocrates: A Context-aware, Collaboration Enabling Search Tool", In Proceedings of 28th IEEE Conference on Computer-Based Medical Systems (CBMS 2015), pp. 320-325. IEEE Computer Society.
BibTeX:
@inproceedings{aravanis2015hippocrates,
  author = {Georgios Aravanis and Mykola Pechenizkiy and Anca Bucur},
  title = {Hippocrates: A Context-aware, Collaboration Enabling Search Tool},
  booktitle = {Proceedings of 28th IEEE Conference on Computer-Based Medical Systems (CBMS 2015)},
  publisher = {IEEE Computer Society},
  year = {2015},
  pages = {320--325},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/AravanisCBMS2015.pdf}
}
conference Chernov, S., Pechenizkiy, M. & Ristaniemi, T. (2015) "The influence of dataset size on the performance of cell outage detection approach in LTE-A networks", In 10th International Conference on Information, Communications and Signal Processing, ICICS 2015, pp. 1-5.
BibTeX:
@inproceedings{DBLP:conf/IEEEicics/ChernovPR15,
  author = {Sergey Chernov and Mykola Pechenizkiy and Tapani Ristaniemi},
  title = {The influence of dataset size on the performance of cell outage detection approach in LTE-A networks},
  booktitle = {10th International Conference on Information, Communications and Signal Processing, ICICS 2015},
  year = {2015},
  pages = {1--5},
  url = {http://dx.doi.org/10.1109/ICICS.2015.7459819},
  doi = {http://dx.doi.org/10.1109/ICICS.2015.7459819}
}
book chapter Tromp, E. & Pechenizkiy, M. (2015) "Pattern-Based Emotion Classification on Social Media", In Advances in Social Media Analysis. Vol. 602, pp. 1-20. Springer.
BibTeX:
@incollection{DBLP:series/sci/TrompP15,
  author = {Erik Tromp and Mykola Pechenizkiy},
  title = {Pattern-Based Emotion Classification on Social Media},
  booktitle = {Advances in Social Media Analysis},
  publisher = {Springer},
  year = {2015},
  volume = {602},
  pages = {1--20},
  url = {http://dx.doi.org/10.1007/978-3-319-18458-6_1},
  doi = {http://dx.doi.org/10.1007/978-3-319-18458-6_1}
}
proceedings Santos, O.C., Boticario, J.G., Romero, C., Pechenizkiy, M., Merceron, A., Mitros, P., Luna, J.M., Mihaescu, C., Moreno, P., Hershkovitz, A., Ventura, S. & Desmarais, M. (2015) "Proceedings of the 8th International Conference on Educational Data Mining"
BibTeX:
@proceedings{EDM2015proceedings,
  author = {Olga C. Santos and Jesus G. Boticario and Cristobal Romero and Mykola Pechenizkiy and Agathe Merceron and Piotr Mitros and José María Luna and Cristian Mihaescu and Pablo Moreno and Arnon Hershkovitz and Sebastian Ventura and Michel Desmarais},
  title = {Proceedings of the 8th International Conference on Educational Data Mining},
  year = {2015},
  url = {http://educationaldatamining.org/EDM2015/proceedings/},
  pdf = {http://www.educationaldatamining.org/EDM2015/proceedings/edm2015_proceedings.pdf}
}
panel abstract Gasevic, D., Martin, T., Pardos, Z., Pechenizkiy, M., Stamper, J. & Zaiane, O. (2015) Ethics and Privacy in EDM, In Proceedings of the 8th International Conference on Educational Data Mining
BibTeX:
@inproceedings{ethicspanelEDM2015,
  author = {Dragan Gasevic and Taylor Martin and Zach Pardos and Mykola Pechenizkiy and John Stamper and Osmar Zaiane},
  title = {Ethics and Privacy in EDM},
  booktitle = {Proceedings of the 8th International Conference on Educational Data Mining},
  year = {2015},
  pdf = {http://www.educationaldatamining.org/EDM2015/proceedings/abstract13.pdf}
}
panel abstract Baker, R., Brusilovsky, P., Gasevic, D., Heffernan, N.T., Pechenizkiy, M. & Wise, A. (2015) Grand Challenges for EDM and Related Research Areas, In Proceedings of the 8th International Conference on Educational Data Mining
BibTeX:
@inproceedings{grandchallengesEDM2015,
  author = {Ryan Baker and Peter Brusilovsky and Dragan Gasevic and Neil T. Heffernan and Mykola Pechenizkiy and Alyssa Wise},
  title = {Grand Challenges for EDM and Related Research Areas},
  booktitle = {Proceedings of the 8th International Conference on Educational Data Mining},
  year = {2015},
  pdf = {http://www.educationaldatamining.org/EDM2015/proceedings/abstract15.pdf}
}
journal Jagadeesh Chandra Bose, R., van der Aalst, W., Zliobaite, I. & Pechenizkiy, M. (2014) Dealing with concept drifts in process mining, IEEE Transactions on Neural Networks and Learning Systems, 25(1), pp. 154-171.
BibTeX:
@article{BoseJC_TNNLS2013,
  author = {R.P. Jagadeesh Chandra Bose and W.M.P. van der Aalst and Indre Zliobaite and Mykola Pechenizkiy},
  title = {Dealing with concept drifts in process mining},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  year = {2014},
  volume = {25},
  number = {1},
  pages = {154-171},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/JCBose_TNNLS.pdf}
}
conference Costante, E., den Hartog, J., Petkovic, M., Etalle, S. & Pechenizkiy, M. (2014) Hunting the Unknown - White-Box Database Leakage Detection, In 28th Conf. on Data and Applications Security and Privacy (DBSec 2014), Lecture Notes in Computer Science 8566, Springer, pp. 243-259.
BibTeX:
@inproceedings{DBLP:conf/dbsec/CostanteHPEP14,
  author = {Elisa Costante and Jerry den Hartog and Milan Petkovic and Sandro Etalle and Mykola Pechenizkiy},
  title = {Hunting the Unknown - White-Box Database Leakage Detection},
  booktitle = {28th Conf. on Data and Applications Security and Privacy (DBSec 2014)},
  editor = {Vijay Atluri and Günther Pernul},
  publisher = {Springer},
  year = {2014},
  volume = {8566},
  pages = {243-259},
  doi = {http://dx.doi.org/10.1007/978-3-662-43936-4_16},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/costanteDBSec14.pdf}
}
conference Kiseleva, J., Garca, A.M., Luo, Y., Pechenizkiy, M., Bra, P.D. & Kamps, J. (2014) Applying Learning to Rank Techniques to Contextual Suggestions, In Proceedings of The Twenty-Third Text REtrieval Conference, TREC
2014, Gaithersburg, Maryland, USA, November 19-21, 2014
BibTeX:
@inproceedings{DBLP:conf/trec/KiselevaGLPBK14,
  author = {Julia Kiseleva and
Alejandro Montes Garca and
Yongming Luo and
Mykola Pechenizkiy and
Paul De Bra and
Jaap Kamps}, title = {Applying Learning to Rank Techniques to Contextual Suggestions}, booktitle = {Proceedings of The Twenty-Third Text REtrieval Conference, TREC
2014, Gaithersburg, Maryland, USA, November 19-21, 2014}, editor = {Ellen M. Voorhees and
Angela Ellis}, year = {2014}, url = {http://trec.nist.gov/pubs/trec23/papers/pro-eindhoven_cs.pdf}, pdf = {http://trec.nist.gov/pubs/trec23/papers/pro-eindhoven_cs.pdf} }
technical report Tromp, E. & Pechenizkiy, M. (2014) Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel. CoRR, arXiv: 1412.4682.
BibTeX:
@techreport{DBLP:journals/corr/TrompP14,
  author = {Erik Tromp and Mykola Pechenizkiy},
  title = {Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel},
  year = {2014},
  number = {arXiv: 1412.4682},
  url = {http://arxiv.org/abs/1412.4682},
  pdf = {http://arxiv.org/pdf/1412.4682v1.pdf}
}
journal Gama, J., Žliobaite, I., Bifet, A., Pechenizkiy, M. & Bouchachia, A. (2014) A Survey on Concept Drift Adaptation, ACM Computing Surveys, 46(4) ACM, pp. 44:1-44:37.
BibTeX:
@article{GamaACMCS2014,
  author = {Joao Gama and Indre Žliobaite and Albert Bifet and Mykola Pechenizkiy and Abdelhamid Bouchachia},
  title = {A Survey on Concept Drift Adaptation},
  journal = {ACM Computing Surveys},
  publisher = {ACM},
  year = {2014},
  volume = {46},
  number = {4},
  pages = {44:1--44:37},
  url = {http://doi.acm.org/10.1145/2523813},
  doi = {http://dx.doi.org/10.1145/2523813},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/Gama_ACMCS_AdaptationCD_accepted.pdf}
}
poster Kurniawan, H., Maslov, A. & Pechenizkiy, M. (2014) Towards the Stress Analytics Framework: Managing, Mining and Visualizing Multi-Modal Data for Stress Awareness, In Proceedings of 27th IEEE Conference on Computer-Based Medical Systems (CBMS 2014), IEEE Computer Society
BibTeX:
@inproceedings{KurniawanCBMS2014,
  author = {Hindra Kurniawan and Alexandr Maslov and Mykola Pechenizkiy},
  title = {Towards the Stress Analytics Framework: Managing, Mining and Visualizing Multi-Modal Data for Stress Awareness},
  booktitle = {Proceedings of 27th IEEE Conference on Computer-Based Medical Systems (CBMS 2014)},
  publisher = {IEEE Computer Society},
  year = {2014},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KurniawanCBMS2014.pdf}
}
workshop Lam, H.T., Kiseleva, J., Pechenizkiy, M. & Calders, T. (2014) Decomposing a Sequence into Independent Subsequences Using Compression Algorithms, In Proceedings of the SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA 2014), pp. 67-74.
BibTeX:
@inproceedings{LamIDEA2014,
  author = {Hoang Thanh Lam and Julia Kiseleva and Mykola Pechenizkiy and Toon Calders},
  title = {Decomposing a Sequence into Independent Subsequences Using Compression Algorithms},
  booktitle = {Proceedings of the SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA 2014)},
  year = {2014},
  pages = {67-74},
  pdf = {http://poloclub.gatech.edu/idea2014/papers/p67-lam.pdf}
}
poster Montes Garcia, A., De Bra, P., Fletcher, G. & Pechenizkiy, M. (2014) A DSL Based on CSS for Hypertext Adaptation, In Proceedings of 25nd ACM Conference on Hypertext and Hypermedia (HT '2014), ACM Press
BibTeX:
@inproceedings{MontesHT2014,
  author = {Montes Garcia, Alejandro and De Bra, Paul and Fletcher, George and Mykola Pechenizkiy},
  title = {A DSL Based on CSS for Hypertext Adaptation},
  booktitle = {Proceedings of 25nd ACM Conference on Hypertext and Hypermedia (HT '2014)},
  publisher = {ACM Press},
  year = {2014},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MontesHT2014.pdf}
}
poster Pechenizkiy, M. & Toledo, P.A. (2014) Learning to Teach like a Bandit, In 7th International Conference on Educational Data Mining (EDM 2014)
BibTeX:
@inproceedings{pechenizkiy2014learning,
  author = {Pechenizkiy, Mykola and Toledo, Pedro A},
  title = {Learning to Teach like a Bandit},
  booktitle = {7th International Conference on Educational Data Mining (EDM 2014)},
  year = {2014},
  pdf = {http://educationaldatamining.org/EDM2014/uploads/procs2014/posters/57_EDM-2014-Poster.pdf}
}
technical report Williams, J.J., Li, N., Kim, J., Whitehill, J., Maldonado, S., Pechenizkiy, M., Chu, L. & Heffernan, N. (2014) The MOOClet Framework: Improving Online Education through Experimentation and Personalization of Modules.
BibTeX:
@techreport{williams2014mooclet,
  author = {Williams, Joseph Jay and Li, Na and Kim, Juho and Whitehill, Jacob and Maldonado, Samuel and Pechenizkiy, Mykola and Chu, Larry and Heffernan, Neil},
  title = {The MOOClet Framework: Improving Online Education through Experimentation and Personalization of Modules},
  year = {2014},
  doi = {http://dx.doi.org/10.2139/ssrn.2523265},
  pdf = {http://ssrn.com/abstract=2523265}
}
proceedings Pechenizkiy, M. & Wojciechowski, M. (2013) "New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznan, Poland, September 17-21, 2012", In ADBIS Workshops. Vol. 185 Springer.
BibTeX:
@proceedings{ADBIS2012,
  author = {Mykola Pechenizkiy and Marek Wojciechowski},
  title = {New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznan, Poland, September 17-21, 2012},
  booktitle = {ADBIS Workshops},
  publisher = {Springer},
  year = {2013},
  volume = {185},
  doi = {http://dx.doi.org/10.1007/978-3-642-32518-2}
}
journal Ang, H., Gopalkrishnan, V., Žliobaite, I., Pechenizkiy, M. & Hoi, S. (2013) Predictive Handling of Asynchronous Concept Drifts in Distributed Environments, IEEE Transactions on Knowledge and Data Engineering, 25(10), pp. 2343-2355.
BibTeX:
@article{Ang2013,
  author = {Ang, H.H. and Gopalkrishnan, V. and Žliobaite, I. and Pechenizkiy, M. and Hoi, S.C.H.},
  title = {Predictive Handling of Asynchronous Concept Drifts in Distributed Environments},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  year = {2013},
  volume = {25},
  number = {10},
  pages = {2343-2355},
  doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2012.172},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/Ang2013.pdf}
}
technical report Jagadeesh Chandra Bose, R., van der Aalst, W., Zliobaite, I. & Pechenizkiy, M. (2013) Dealing with concept drifts in process mining : a case study in a Dutch municipality. BPM Center Report, BPMcenter.org, No. BPM-13-13.
BibTeX:
@techreport{BoseTechReport2013,
  author = {R.P. Jagadeesh Chandra Bose and W.M.P. van der Aalst and Indre Zliobaite and Mykola Pechenizkiy},
  title = {Dealing with concept drifts in process mining : a case study in a Dutch municipality},
  year = {2013},
  number = {No. BPM-13-13},
  pdf = {http://purl.tue.nl/900712427329104}
}
conference proceedings Rodrigues, P.P., Pechenizkiy, M., Gama, J., Cruz-Correia, R., Liu, J., Traina, A.J.M., Lucas, P.J.F. & Soda, P. (2013) "Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013", In CBMS. IEEE.
BibTeX:
@proceedings{DBLP:conf/cbms/2013,
  author = {Pedro Pereira Rodrigues and Mykola Pechenizkiy and João Gama and Ricardo Cruz-Correia and Jiming Liu and Agma J. M. Traina and Peter J. F. Lucas and Paolo Soda},
  title = {Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013},
  booktitle = {CBMS},
  publisher = {IEEE},
  year = {2013},
  doi = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6607262},
  pdf = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6627746}
}
technical report Zliobaite, I. & Pechenizkiy, M. (2013) Predictive User Modeling with Actionable Attributes. CoRR, arXiv: 1312.6558.
BibTeX:
@techreport{DBLP:journals/corr/ZliobaiteP13,
  author = {Indre Zliobaite and Mykola Pechenizkiy},
  title = {Predictive User Modeling with Actionable Attributes},
  year = {2013},
  number = {arXiv: 1312.6558},
  pdf = {http://arxiv.org/pdf/1312.6558v1.pdf},
}
workshop Demirtas, E. & Pechenizkiy, M. (2013) Cross-lingual Polarity Detection with Machine Translation, In Proceedings of the Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM@KDD2013), ACM
BibTeX:
@inproceedings{DemirtasWISDOM2013,
  author = {Erkin Demirtas and Mykola Pechenizkiy},
  title = {Cross-lingual Polarity Detection with Machine Translation},
  booktitle = {Proceedings of the Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM@KDD2013)},
  publisher = {ACM},
  year = {2013},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MT_WISDOM2013.pdf}
}
book chapter Kamiran, F., Calders, T. & Pechenizkiy, M. (2013) "Techniques for Discrimination-Free Predictive Models", In Discrimination and Privacy in the Information Society. Vol. 3, pp. 223-239. Springer Berlin Heidelberg.
BibTeX:
@incollection{KamiranBook2013,
  author = {Kamiran, Faisal and Calders, Toon and Pechenizkiy, Mykola},
  title = {Techniques for Discrimination-Free Predictive Models},
  booktitle = {Discrimination and Privacy in the Information Society},
  publisher = {Springer Berlin Heidelberg},
  year = {2013},
  volume = {3},
  pages = {223-239},
  doi = {http://dx.doi.org/10.1007/978-3-642-30487-3_12}
}
workshop Kiseleva, J., Lam, H.T., Pechenizkiy, M. & Calders, T. (2013) Predicting current user intent with contextual Markov models, In (submitted to) Proceedings of the Domain-Driven Data Mining Workshop @ ICDM'2013, (DDDM'2013), IEEE
BibTeX:
@inproceedings{KiselevaLPC_DDDM13,
  author = {Julia Kiseleva and Hoang Thanh Lam and Mykola Pechenizkiy and Toon Calders},
  title = {Predicting current user intent with contextual Markov models},
  booktitle = {(submitted to) Proceedings of the Domain-Driven Data Mining Workshop @ ICDM'2013, (DDDM'2013)},
  publisher = {IEEE},
  year = {2013},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KiselevaDDDM13.pdf}
}
workshop Kiseleva, J., Lam, H.T., Pechenizkiy, M. & Calders, T. (2013) Discovering temporal hidden contexts in web sessions for user trail prediction, In Proceedings of the 22nd international conference on World Wide Web, (Companion Volume, TempWeb@WWW'2013 ), ACM, pp. 1067-1074.
BibTeX:
@inproceedings{KiselevaLPC_www13,
  author = {Julia Kiseleva and Hoang Thanh Lam and Mykola Pechenizkiy and Toon Calders},
  title = {Discovering temporal hidden contexts in web sessions for user trail prediction},
  booktitle = {Proceedings of the 22nd international conference on World Wide Web, (Companion Volume, TempWeb@WWW'2013 )},
  editor = {Leslie Carr and Alberto H. F. Laender and Bernadette Farias Lóscio and Irwin King and Marcus Fontoura and Denny Vrandecic and Lora Aroyo and José Palazzo M. de Oliveira and Fernanda Lima and Erik Wilde},
  publisher = {ACM},
  year = {2013},
  pages = {1067-1074},
  doi = {http://dl.acm.org/citation.cfm?id=2488120},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KiselevaTempWeb2013.pdf}
}
conference Kurniawan, H., Maslov, A. & Pechenizkiy, M. (2013) "Stress Detection from Speech and Galvanic Skin Response Signals", In Proceedings of 26th IEEE Conference on Computer-Based Medical Systems (CBMS 2013), pp. 209-214. IEEE Computer Society.
BibTeX:
@incollection{KurniawanCBMS2013,
  author = {Hindra Kurniawan and Alexandr Maslov and Mykola Pechenizkiy},
  title = {Stress Detection from Speech and Galvanic Skin Response Signals},
  booktitle = {Proceedings of 26th IEEE Conference on Computer-Based Medical Systems (CBMS 2013)},
  publisher = {IEEE Computer Society},
  year = {2013},
  pages = {209-214},
  doi = {http://dx.doi.org/10.1109/CBMS.2013.6627790},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KurniawanCBMS2013.pdf}
}
conference Marrero, A., Mendez, J.A., Maslov, A. & Pechenizkiy, M. (2013) "ACLAC: An approach for adaptive closed-loop anesthesia control", In Proceedings of 26th IEEE Conference on Computer-Based Medical Systems (CBMS 2013), pp. 285-290. IEEE Computer Society.
BibTeX:
@incollection{MarreroCBMS2013,
  author = {Ayoze Marrero and Juan A. Mendez and Alexandr Maslov and Mykola Pechenizkiy},
  title = {ACLAC: An approach for adaptive closed-loop anesthesia control},
  booktitle = {Proceedings of 26th IEEE Conference on Computer-Based Medical Systems (CBMS 2013)},
  publisher = {IEEE Computer Society},
  year = {2013},
  pages = {285-290},
  doi = {http://dx.doi.org/10.1109/CBMS.2013.6627803},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MarreroCBMS2013.pdf}
}
editorial Pechenizkiy, M. & Žliobaite, I. (2013) Introduction to the special issue on handling concept drift in adaptive information systems, Evolving Systems, Springer-Verlag, pp. 1-2.
BibTeX:
@article{PechenizkiyZliobaite2012,
  author = {Pechenizkiy, Mykola and Indre Žliobaite},
  title = {Introduction to the special issue on handling concept drift in adaptive information systems},
  journal = {Evolving Systems},
  publisher = {Springer-Verlag},
  year = {2013},
  pages = {1-2},
  doi = {http://dx.doi.org/10.1007/s12530-012-9070-5},
  pdf = {http://dx.doi.org/10.1007/s12530-012-9070-5}
}
journal Song, M., Yang, H., Siadat, S. & Pechenizkiy, M. (2013) A comparative study of dimensionality reduction techniques to enhance trace clustering performances, Expert Systems with Applications, 40, pp. in press.
BibTeX:
@article{Song2013,
  author = {M. Song and Hanna Yang and S.H. Siadat and M. Pechenizkiy},
  title = {A comparative study of dimensionality reduction techniques to enhance trace clustering performances},
  journal = {Expert Systems with Applications},
  year = {2013},
  volume = {40},
  pages = {in press},
  url = {http://www.sciencedirect.com/science/article/pii/S095741741201319X},
  doi = {http://dx.doi.org/10.1016/j.eswa.2012.12.078},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/SongESA2013.pdf}
}
workshop Tromp, E. & Pechenizkiy, M. (2013) RBEM: A Rule Based Approach to Polarity Detection, In Proceedings of the Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM@KDD2013), ACM
BibTeX:
@inproceedings{TrompWISDOM2013,
  author = {Erik Tromp and Mykola Pechenizkiy},
  title = {RBEM: A Rule Based Approach to Polarity Detection},
  booktitle = {Proceedings of the Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM@KDD2013)},
  publisher = {ACM},
  year = {2013},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/RBEM_WISDOM2013.pdf}
}
journal Zafra, A., Pechenizkiy, M. & Ventura, S. (2013) HyDR-MI: A Hybrid Algorithm to Reduce Dimensionality in Multiple Instance Learning, Information Sciences, 222, pp. 282-301.
BibTeX:
@article{ZafraIS2013,
  author = {Amelia Zafra and Mykola Pechenizkiy and Sebastián Ventura},
  title = {HyDR-MI: A Hybrid Algorithm to Reduce Dimensionality in Multiple Instance Learning},
  journal = {Information Sciences},
  year = {2013},
  volume = {222},
  pages = {282-301},
  url = {http://linkinghub.elsevier.com/retrieve/pii/S0020025511000612},
  doi = {http://dx.doi.org/10.1016/j.ins.2011.01.034},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZafraIS2013.pdf}
}
conference Apeh, E., Žliobaite, I., Pechenizkiy, M. & Gabrys, B. (2012) Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales, In Proc. of the 32nd Annual Int. Conf. of the British Computer Society's Specialist Group on Arti.cial Intelligence (SGAI'12), pp. 213-218.
BibTeX:
@inproceedings{Apeh2012,
  author = {Apeh, E. and Žliobaite, I. and Pechenizkiy, M. and Gabrys, B.},
  title = {Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales},
  booktitle = {Proc. of the 32nd Annual Int. Conf. of the British Computer Society's Specialist Group on Arti.cial Intelligence (SGAI'12)},
  year = {2012},
  pages = {213-218},
  doi = {http://link.springer.com/chapter/10.1007/978-1-4471-4739-8_17},
  pdf = {https://sites.google.com/site/zliobaitefiles/FullMulticlassClassification.pdf?attredirects=0}
}
conference, short Bakker, J., Holenderski, L., Kocielnik, R., Pechenizkiy, M. & Sidorova, N. (2012) Stess@work: From Measuring Stress to its Understanding, Prediction and Handling with Personalized Coaching, In Proceedings of ACM SIGHIT International Health Informatics Symposium (IHI 2012), ACM Press, pp. 673-678.
BibTeX:
@inproceedings{BakerIHI2012,
  author = {Jorn Bakker and Leszek Holenderski and Rafal Kocielnik and Mykola Pechenizkiy and Natalia Sidorova},
  title = {Stess@work: From Measuring Stress to its Understanding, Prediction and Handling with Personalized Coaching},
  booktitle = {Proceedings of ACM SIGHIT International Health Informatics Symposium (IHI 2012)},
  publisher = {ACM Press},
  year = {2012},
  pages = {673-678},
  doi = {http://doi.acm.org/10.1145/2110363.2110439},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/BakkerIHI2012.pdf}
}
tutorial abstract Bifet, A., Gama, J., Gavaldà, R., Krempl, G., Pechenizkiy, M., Pfahringer, B., Spiliopoulou, M. & Žliobaite, I. (Eds.) (2012) Advanced Topics on Data Stream Mining, Tutorial at the 23rd Europ. Conf. on Machine Learning and 16th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'12).
BibTeX:
@misc{Bifet2012tutorial,,
  title = {Advanced Topics on Data Stream Mining},
  howpublished = {Tutorial at the 23rd Europ. Conf. on Machine Learning and 16th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'12)},
  year = {2012},
  url = {https://sites.google.com/site/advancedstreamingtutorial/},
  doi = {https://sites.google.com/site/advancedstreamingtutorial/}
}
workshop Calders, T. & Pechenizkiy, M. (2012) Cost-sensitive classification problem, In Workshop on Teaching Machine Learning @ ICML 2012, pp. 1-6.
BibTeX:
@inproceedings{Calders_TML12,
  author = {Toon Calders and Mykola Pechenizkiy},
  title = {Cost-sensitive classification problem},
  booktitle = {Workshop on Teaching Machine Learning @ ICML 2012},
  year = {2012},
  pages = {1--6},
  url = {http://repository.tue.nl/750220},
  pdf = {http://swarmlab.unimaas.nl/TeachingML/papers/Calders-TML.pdf}
}
book chapter Calders, T., Fletcher, G.H., Kamiran, F. & Pechenizkiy, M. (2012) "Technologies for Dealing with Information Overload An Engineers’ Point of View", In Information Overload: An International Challenge for Professional Engineers and Technical Communicators, pp. 175-202. John Wiley & Sons Inc.
BibTeX:
@incollection{CaldersBook2011,
  author = {Toon Calders and Fletcher, George H.L. and Faisal Kamiran and Mykola Pechenizkiy},
  title = {Technologies for Dealing with Information Overload An Engineers’ Point of View},
  booktitle = {Information Overload: An International Challenge for Professional Engineers and Technical Communicators},
  publisher = {John Wiley & Sons Inc},
  year = {2012},
  pages = {175--202},
  doi = {http://dx.doi.org/10.1002/9781118360491.ch9}
}
proceedings Soda, P., Tortorella, F., Antani, S., Pechenizkiy, M., Cannataro, M. & Tsymbal, A. (2012) "Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012)" IEEE Computer Society.
BibTeX:
@proceedings{CBMS2012,
  author = {Soda, P. and Tortorella, F. and Antani, S. and Pechenizkiy, M. and Cannataro, M. and Tsymbal, A.},
  title = {Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012)},
  publisher = {IEEE Computer Society},
  year = {2012},
  doi = {http://dx.doi.org/10.1109/CBMS.2012.6266288}
}
conference Chambers, L., Tromp, E., Pechenizkiy, M. & Gaber, M. (2012) Mobile sentiment analysis, In Proc. of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Frontiers in Artificial Intelligence and Applications 243, IOS Press, pp. 470-479.
BibTeX:
@inproceedings{ChambersKBIES2012,
  author = {Chambers, L. and Tromp, E. and Pechenizkiy, M. and Gaber, M.},
  title = {Mobile sentiment analysis},
  booktitle = {Proc. of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems},
  editor = {Manuel Graña and Carlos Toro and Jorge Posada and Robert J. Howlett and Lakhmi C. Jain},
  publisher = {IOS Press},
  year = {2012},
  volume = {243},
  pages = {470-479},
  doi = {http://dx.doi.org/10.3233/978-1-61499-105-2-470}
}
poster Kocielnik, R., Pechenizkiy, M. & Sidorova, N. (2012) Stress Analytics in Education, In Proc. of 5th International Conference on Educational Data Mining, pp. 236-237.
BibTeX:
@inproceedings{KocielnikEDM2012,
  author = {Rafal Kocielnik and Mykola Pechenizkiy and Natalia Sidorova},
  title = {Stress Analytics in Education},
  booktitle = {Proc. of 5th International Conference on Educational Data Mining},
  editor = {Kalina Yacef and Osmar Zaïane and Arnon Hershkovitz and Michael Yudelson and John Stamper},
  year = {2012},
  pages = {236-237},
  url = {http://educationaldatamining.org/EDM2012/index.php?page=proceedings},
  pdf = {http://educationaldatamining.org/EDM2012/uploads/procs/Posters/edm2012_poster_7.pdf}
}
workshop Maslov, A., Pechenizkiy, M., Kärkkäinen, T. & Tähtinen, M. (2012) Quantile index for gradual and abrupt change detection from CFB boiler sensor data in online settings, In Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data, SensorKDD '12, ACM, pp. 25-33.
BibTeX:
@inproceedings{Maslov2012,
  author = {Maslov, Alexandr and Pechenizkiy, Mykola and Kärkkäinen, Tommi and Tähtinen, Matti},
  title = {Quantile index for gradual and abrupt change detection from CFB boiler sensor data in online settings},
  booktitle = {Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data},
  publisher = {ACM},
  year = {2012},
  pages = {25--33},
  url = {http://doi.acm.org/10.1145/2350182.2350185},
  doi = {http://dx.doi.org/10.1145/2350182.2350185},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MaslovSensorsKDD2012.pdf}
}
poster Pechenizkiy, M., Trcka, N., De Bra, P. & Toledo, P. (2012) CurriM: Curriculum Mining, In Proc. of 5th International Conference on Educational Data Mining, pp. 216-217.
BibTeX:
@inproceedings{PechenizkiyEDM2012,
  author = {Mykola Pechenizkiy and Nikola Trcka and De Bra, Paul and Pedro Toledo},
  title = {CurriM: Curriculum Mining},
  booktitle = {Proc. of 5th International Conference on Educational Data Mining},
  editor = {Kalina Yacef and Osmar Zaïane and Arnon Hershkovitz and Michael Yudelson and John Stamper},
  year = {2012},
  pages = {216-217},
  url = {http://educationaldatamining.org/EDM2012/index.php?page=proceedings},
  pdf = {http://educationaldatamining.org/EDM2012/uploads/procs/Posters/edm2012_poster_11.pdf}
}
journal Soda, P., Antani, S., Tortorella, F., Cannataro, M., Pechenizkiy, M. & Tsymbal, A. (2012) Trends in computer-based medical systems, SIGHIT Record, 2(2), pp. 46-50.
BibTeX:
@article{SodaATCPT12,
  author = {Paolo Soda and Sameer Antani and Francesco Tortorella and Mario Cannataro and Mykola Pechenizkiy and Alexey Tsymbal},
  title = {Trends in computer-based medical systems},
  journal = {SIGHIT Record},
  year = {2012},
  volume = {2},
  number = {2},
  pages = {46-50}
}
journal Zafra, A., Pechenizkiy, M. & Ventura, S. (2012) ReliefF-MI: An extension of ReliefF to multiple instance learning, Neurocomputing, 75(1), pp. 210-218.
BibTeX:
@article{ZafraNEUCOM2011,
  author = {Amelia Zafra and Mykola Pechenizkiy and Sebastián Ventura},
  title = {ReliefF-MI: An extension of ReliefF to multiple instance learning},
  journal = {Neurocomputing},
  year = {2012},
  volume = {75},
  number = {1},
  pages = {210--218},
  url = {http://www.sciencedirect.com/science/article/pii/S0925231211003997},
  doi = {http://dx.doi.org/10.1016/j.neucom.2011.03.052},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZafraNEUCOM2011.pdf}
}
workshop Bakker, J., Pechenizkiy, M. & Sidorova, N. (2011) What's your current stress level? Detection of stress patterns from GSR sensor data, In Proceedings of ICDM Workshops. 2nd HACDAIS Workshop @ ICDM 2011 (HACDAIS 2011), pp. 573-580.
BibTeX:
@inproceedings{BakerHACDAIS2011,
  author = {Jorn Bakker and Mykola Pechenizkiy and Natalia Sidorova},
  title = {What's your current stress level? Detection of stress patterns from GSR sensor data},
  booktitle = {Proceedings of ICDM Workshops. 2nd HACDAIS Workshop @ ICDM 2011 (HACDAIS 2011)},
  year = {2011},
  pages = {573-580},
  doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2011.178},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/Bakker_HaCDAIS2011.pdf}
}
conference Bose, R.P.J.C., van der Aalst, W.M.P., Zliobaite, I. & Pechenizkiy, M. (2011) Handling Concept Drift in Process Mining, In Proceedings of 23rd International Conference on Advanced Information Systems Engineering CAiSE'2011, Lecture Notes in Computer Science 6741, Springer, pp. 391-405.
BibTeX:
@inproceedings{BoseCAISE2011,
  author = {R. P. Jagadeesh Chandra Bose and Wil M. P. van der Aalst and Indre Zliobaite and Mykola Pechenizkiy},
  title = {Handling Concept Drift in Process Mining},
  booktitle = {Proceedings of 23rd International Conference on Advanced Information Systems Engineering CAiSE'2011},
  editor = {Haralambos Mouratidis and Colette Rolland},
  publisher = {Springer},
  year = {2011},
  volume = {6741},
  pages = {391-405},
  doi = {http://dx.doi.org/10.1007/978-3-642-21640-4_30},
  pdf = {http://www.win.tue.nl/~jcbose/jc-conceptdrift-caise-2011.pdf}
}
special issue Calders, T. & Pechenizkiy, M. (2011) Special section on educational data mining, SIGKDD Explorations, 13(2)
BibTeX:
@article{Calders2011,
  author = {Toon Calders and Mykola Pechenizkiy},
  title = {Special section on educational data mining},
  journal = {SIGKDD Explorations},
  year = {2011},
  volume = {13},
  number = {2},
  doi = {http://doi.acm.org/10.1145/2207243.2207245}
}
journal Calders, T. & Pechenizkiy, M. (2011) Introduction to the special section on educational data mining, SIGKDD Explorations, 13(2), pp. 3-6.
BibTeX:
@article{CaldersPechenizkiy2011,
  author = {Toon Calders and Mykola Pechenizkiy},
  title = {Introduction to the special section on educational data mining},
  journal = {SIGKDD Explorations},
  year = {2011},
  volume = {13},
  number = {2},
  pages = {3-6},
  doi = {http://doi.acm.org/10.1145/2207243.2207245},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/CaldersIntroEDM11.pdf}
}
workshop Hannon, J., Knutov, E., De Bra, P., Pechenizkiy, M., Smyth, B. & McCarthy, K. (2011) Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance study, In Proceedings of 2nd DAH'2011 Workshop on Dynamic and Adaptive Hypertext, pp. to appear.
BibTeX:
@inproceedings{HannonDAH2011,
  author = {J. Hannon and E. Knutov and De Bra, P. and M. Pechenizkiy and B. Smyth and K. McCarthy},
  title = {Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance study},
  booktitle = {Proceedings of 2nd DAH'2011 Workshop on Dynamic and Adaptive Hypertext},
  year = {2011},
  pages = {to appear},
  pdf = {http://www.win.tue.nl/~eknutov/dah11/papers/dah11_paper_1.pdf}
}
editorial Khan, L., Pechenizkiy, M. & Žliobaite, I. (2011) Preface to the Handling Concept Drift and Reoccurring Contexts in Adaptive Information Systems Workshop, In Proceedings of the 11th IEEE International Conference on Data Mining Workshops, pp. xxxvi-xxxvii.
BibTeX:
@inproceedings{Khan2011,
  author = {Lim Khan and Mykola Pechenizkiy and Indrte Žliobaite},
  title = {Preface to the Handling Concept Drift and Reoccurring Contexts in Adaptive Information Systems Workshop},
  booktitle = {Proceedings of the 11th IEEE International Conference on Data Mining Workshops},
  year = {2011},
  pages = {xxxvi-xxxvii},
  doi = {http://dx.doi.org/10.1109/ICDMW.2011.195}
}
workshop Knutov, E., De Bra, P. & Pechenizkiy, M. (2011) Adaptive Hypermedia Systems Analysis Approach by Means of the GAF Framework, In Proceedings of 2nd DAH'2011 Workshop on Dynamic and Adaptive Hypertext, pp. to appear.
BibTeX:
@inproceedings{KnutovDAH2011,
  author = {E. Knutov and De Bra, P. and M. Pechenizkiy},
  title = {Adaptive Hypermedia Systems Analysis Approach by Means of the GAF Framework},
  booktitle = {Proceedings of 2nd DAH'2011 Workshop on Dynamic and Adaptive Hypertext},
  year = {2011},
  pages = {to appear},
  pdf = {http://www.win.tue.nl/~eknutov/dah11/papers/dah11_paper_5.pdf}
}
journal Knutov, E., De Bra, P. & Pechenizkiy, M. (2011) Generic Adaptation Framework: a Process-Oriented Perspective, Journal of Digital Information, 12(1)
BibTeX:
@article{KnutoveJODI2011,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Generic Adaptation Framework: a Process-Oriented Perspective},
  journal = {Journal of Digital Information},
  year = {2011},
  volume = {12},
  number = {1},
  pdf = {http://journals.tdl.org/jodi/article/view/965/1739}
}
poster Knutov, E., De Bra, P. & Pechenizkiy, M. (2011) Adaptive Hypermedia Systems Extensive Analysis Approach, In Proceedings of 22nd ACM Conference on Hypertext and Hypermedia (HT '2011), ACM Press
BibTeX:
@inproceedings{KnutovHT2011,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Adaptive Hypermedia Systems Extensive Analysis Approach},
  booktitle = {Proceedings of 22nd ACM Conference on Hypertext and Hypermedia (HT '2011)},
  publisher = {ACM Press},
  year = {2011},
  pdf = {http://www.win.tue.nl/~eknutov/papers/ht2011_ah.analysis.abstract.pdf}
}
conference Knutov, E., De Bra, P., Smits, D. & Pechenizkiy, M. (2011) Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution, In Proceedings of the 7th International Conference on Web Information Systems and Technologies (WEBIST'2011), SciTePress, pp. 314-321.
BibTeX:
@inproceedings{KnutovWEBIST2011,
  author = {Evgeny Knutov and De Bra, Paul and David Smits and Mykola Pechenizkiy},
  title = {Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution},
  booktitle = {Proceedings of the 7th International Conference on Web Information Systems and Technologies (WEBIST'2011)},
  editor = {José Cordeiro and Joaquim Filipe},
  publisher = {SciTePress},
  year = {2011},
  pages = {314-321},
  pdf = {http://www.win.tue.nl/~eknutov/papers/webist2011_AHS.evolution.pdf}
}
conference Mazhelis, O., Žliobaite, I. & Pechenizkiy, M. (2011) Context-aware Personal Route Recognition, In Proc. of the 14th International Conf. on Discovery Science (DS 2011), Springer LNCS(6926), pp. 221-235.
BibTeX:
@inproceedings{MazhelisDS2011,
  author = {Mazhelis, O. and Žliobaite, I. and Pechenizkiy, M.},
  title = {Context-aware Personal Route Recognition},
  booktitle = {Proc. of the 14th International Conf. on Discovery Science (DS 2011)},
  year = {2011},
  number = {6926},
  pages = {221--235},
  pdf = {https://sites.google.com/site/zliobaite/context_route_camera.pdf?attredirects=0}
}
proceedings Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C. & Stamper, J. (Eds.) (2011) Proceedings of the 4th International Conference on Educational Data Mining.
BibTeX:
@misc{PechenizkiyEDM2011,,
  title = {Proceedings of the 4th International Conference on Educational Data Mining},
  publisher = {TU/e printservice},
  year = {2011},
  url = {http://educationaldatamining.org/EDM2011/proceedings-2},
  pdf = {http://educationaldatamining.org/EDM2011/wp-content/uploads/proc/edm11_proceedings.pdf}
}
proceedings Rodrigues, P.P., Pechenizkiy, M., Gaber, M.M. & Gama, J. (Eds.) (2011) Proceedings of the Learning from Medical Data Streams (LEMEDS'11) workshop @ AIME'2011 Conference.
BibTeX:
@misc{RodriguesLEMEDS2011,,
  title = {Proceedings of the Learning from Medical Data Streams (LEMEDS'11) workshop @ AIME'2011 Conference},
  year = {2011},
  url = {http://www.liaad.up.pt/~pprodrigues/lmds11/},
  pdf = {http://www.liaad.up.pt/~pprodrigues/lmds11/lemeds2011/lemeds11papers.pdf}
}
workshop Rodrigues, P.P., Pechenizkiy, M., Gaber, M.M. & Gama, J. (2011) Learning from medical data streams: an introduction, In Proceedings of the Learning from Medical Data Streams (LEMEDS'11) workshop @ AIME'2011 Conference, pp. 1-6.
BibTeX:
@inproceedings{RodriguesLMDS2011,
  author = {Rodrigues, Pedro Pereira and Mykola Pechenizkiy and Gaber, Mohamed Medhat and Joao Gama},
  title = {Learning from medical data streams: an introduction},
  booktitle = {Proceedings of the Learning from Medical Data Streams (LEMEDS'11) workshop @ AIME'2011 Conference},
  year = {2011},
  pages = {1-6},
  pdf = {http://www.liaad.up.pt/~pprodrigues/lmds11/lemeds2011/lemeds11_submission_6.pdf}
}
conference Tromp, E. & Pechenizkiy, M. (2011) Graph-Based N-gram Language Identification on Short Texts, In Proceedings of the Twentieth Belgian Dutch Conference on Machine Learning (Benelearn 2011), pp. 27-34.
BibTeX:
@inproceedings{TrompBENELEARN2011,
  author = {Erik Tromp and Mykola Pechenizkiy},
  title = {Graph-Based N-gram Language Identification on Short Texts},
  booktitle = {Proceedings of the Twentieth Belgian Dutch Conference on Machine Learning (Benelearn 2011)},
  year = {2011},
  pages = {27-34},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TrompPechenizkiy_LIGA_Benelearn11.pdf}
}
demo paper Tromp, E. & Pechenizkiy, M. (2011) SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence, In Proceedings of IEEE ICDM 2011 Workshops, IEEE, pp. 470-479.
BibTeX:
@inproceedings{TrompICDM2011,
  author = {Erik Tromp and Mykola Pechenizkiy},
  title = {SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence},
  booktitle = {Proceedings of IEEE ICDM 2011 Workshops},
  editor = {Myra Spiliopoulou and Haixun Wang and Diane J. Cook and Jian Pei and Wei Wang and Osmar R. Zaane and Xindong Wu},
  publisher = {IEEE},
  year = {2011},
  pages = {470-479},
  doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2011.152},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TrompICDM2011.pdf}
}
journal Žliobaite, I., Bakker, J. & Pechenizkiy, M. (2011) Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?, Expert Systems With Applications, 39(1), pp. 806-815.
BibTeX:
@article{ZliobaiteESA2011,
  author = {Indre Žliobaite and Jorn Bakker and Mykola Pechenizkiy},
  title = {Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?},
  journal = {Expert Systems With Applications},
  year = {2011},
  volume = {39},
  number = {1},
  pages = {806--815},
  doi = {http://dx.doi.org/10.1016/j.eswa.2011.07.078},
  pdf = {https://sites.google.com/site/zliobaite/sligro_ESA.pdf?attredirects=0}
}
proceedings Abel, F., Herder, E., Houben, G.-J., Pechenizkiy, M. & Yudelson, M. (Eds.) (2010) Proceedings of the International Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems (WABBWUAS 2010).
BibTeX:
@misc{CEUR-WS.org/Vol-609,,
  title = {Proceedings of the International Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems (WABBWUAS 2010)},
  publisher = {CEUR-WS.org},
  year = {2010},
  volume = {609},
  url = {http://ceur-ws.org/Vol-609},
  pdf = {http://ceur-ws.org/Vol-609/wabbwuas-proceedings.pdf}
}
conference, short Kamiran, F., Calders, T. & Pechenizkiy, M. (2010) Discrimination Aware Decision Tree Learning, In Proceeding of ICDM 2010, IEEE Computer Society, pp. 869-874.
BibTeX:
@inproceedings{KamiranICDM2010,
  author = {Faisal Kamiran and Toon Calders and Mykola Pechenizkiy},
  title = {Discrimination Aware Decision Tree Learning},
  booktitle = {Proceeding of ICDM 2010},
  publisher = {IEEE Computer Society},
  year = {2010},
  pages = {869-874},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KamiranICDM2010.pdf}
}
technical report Kamiran, F., Calders, T. & Pechenizkiy, M. (2010) Discrimination Aware Decision Tree Learning. Eindhoven University of Technology, Dept. Math. and Computer Science, CS-Report 10-13.
BibTeX:
@techreport{KamiranTechReport2010,
  author = {Faisal Kamiran and Toon Calders and Mykola Pechenizkiy},
  title = {Discrimination Aware Decision Tree Learning},
  year = {2010},
  number = {CS-Report 10-13},
  pdf = {http://wwwis.win.tue.nl/~tcalders/pubs/TR10-13.pdf}
}
conference Knutov, E., De Bra, P. & Pechenizkiy, M. (2010) Provenance meets Adaptive Hypermedia, In Proceedings of ACM Hypertext Conference (HT'10), ACM Press, pp. 93-98.
BibTeX:
@inproceedings{KnutovHT10a,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Provenance meets Adaptive Hypermedia},
  booktitle = {Proceedings of ACM Hypertext Conference (HT'10)},
  publisher = {ACM Press},
  year = {2010},
  pages = {93--98},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KnutovHT10a.pdf}
}
conference, short Knutov, E., De Bra, P. & Pechenizkiy, M. (2010) Adaptation and search: from Dexter and AHAM to GAF, In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HT'10), ACM Press, pp. 281-282.
BibTeX:
@inproceedings{KnutovHT2010b,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Adaptation and search: from Dexter and AHAM to GAF},
  booktitle = {Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HT'10)},
  editor = {Mark H. Chignell and Elaine Toms},
  publisher = {ACM Press},
  year = {2010},
  pages = {281-282},
  doi = {http://doi.acm.org/10.1145/1810617.1810675},
  pdf = {KnutovHT2010b.pdf}
}
poster Knutov, E., De Bra, P. & Pechenizkiy, M. (2010) Bridging Versioning and Adaptive Hypermedia in the Dynamic Web, In Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization: Posters and Demonstratione (UMAP 2010), pp. 13-15.
BibTeX:
@inproceedings{KnutovUMAP10,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Bridging Versioning and Adaptive Hypermedia in the Dynamic Web},
  booktitle = {Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization: Posters and Demonstratione (UMAP 2010)},
  editor = {Fabian Bohnert and Luz M. Quiroga},
  year = {2010},
  pages = {13-15},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KnutovUMAP10.pdf}
}
workshop Knutov, E., De Bra, P. & Pechenizkiy, M. (2010) Generic Adaptation Process, In Proceedings of Workshop on Architectures and Building Blocks of Web-based User-Adaptive Systems (co-located with UMAP 2010 conference) 609, CEUR-WS.org, pp. 13-24.
BibTeX:
@inproceedings{KnutovWABBWUAS2010,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Generic Adaptation Process},
  booktitle = {Proceedings of Workshop on Architectures and Building Blocks of Web-based User-Adaptive Systems (co-located with UMAP 2010 conference)},
  editor = {Fabian Abel and Eelco Herder and Geert-Jan Houben and Mykola Pechenizkiy and Michael Yudelson},
  publisher = {CEUR-WS.org},
  year = {2010},
  volume = {609},
  pages = {13--24},
  url = {http://ceur-ws.org/Vol-609},
  pdf = {http://CEUR-WS.org/Vol-609/paper2.pdf}
}
conference Pechenizkiy, M., Vasilyeva, E., Žliobaite, I., Tesanovic, A. & Manev, G. (2010) Heart Failure Hospitalization Prediction in Remote Patient Management Systems, In Proceedings of IEEE Conference on Computer-Based Medical Systems, pp. 44 - 49.
BibTeX:
@inproceedings{PechenizkiyCBMS2010,
  author = {Mykola Pechenizkiy and Ekaterina Vasilyeva and Indrte Žliobaite and Aleksandra Tesanovic and Goran Manev},
  title = {Heart Failure Hospitalization Prediction in Remote Patient Management Systems},
  booktitle = {Proceedings of IEEE Conference on Computer-Based Medical Systems},
  year = {2010},
  pages = {44 - 49},
  doi = {http://dx.doi.org/10.1109/CBMS.2010.6042612},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyCBMS2010.pdf}
}
editorial Pechenizkiy, M. & Žliobaite, I. (2010) "Preface to the Proceedings of the Workshop on "Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions" (HaCDAIS'2010), held in conjunction with ECML/PKDD 2010" , pp. iii-iv.
BibTeX:
@other{PechenizkiyEditorialHaCDAIS2010,
  author = {Mykola Pechenizkiy and Indrte Žliobaite},
  title = {Preface to the Proceedings of the Workshop on "Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions" (HaCDAIS'2010), held in conjunction with ECML/PKDD 2010},
  year = {2010},
  pages = {iii-iv},
  pdf = {http://wwwis.win.tue.nl/hacdais2010/coverpages.pdf}
}
technical report Pechenizkiy, M., Ivannikov, A., Äyrämö, S. & Kärkkäinen, T. (2010) Towards Better Understanding and Control of CFB-Boilers: Review of Recent Research in Mining Time Series Data. Reports of the Dept. of Math. Inf. Tech. (Series C. Software and Computational Engineering), University of Jyväskylä, 2010/2.
BibTeX:
@techreport{PechenizkiyTechReport2010,
  author = {Pechenizkiy, M. and Ivannikov, A. and Äyrämö, S. and Kärkkäinen, T.},
  title = {Towards Better Understanding and Control of CFB-Boilers: Review of Recent Research in Mining Time Series Data},
  year = {2010},
  number = {2010/2}
}
poster Pechenizkiy, M., Tesanovic, A., Manev, G., Vasilyeva, E., Knutov, E., Verwer, S. & De Bra, P. (2010) Patient Condition Modeling in Remote Patient Management: Hospitalization Prediction, In Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization: Posters and Demonstration (UMAP 2010), pp. 34-36.
BibTeX:
@inproceedings{PechenizkiyUMAP10,
  author = {M. Pechenizkiy and A. Tesanovic and G. Manev and E. Vasilyeva and E. Knutov and S. Verwer and De Bra, P.},
  title = {Patient Condition Modeling in Remote Patient Management: Hospitalization Prediction},
  booktitle = {Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization: Posters and Demonstration (UMAP 2010)},
  editor = {Fabian Bohnert and Luz M. Quiroga},
  year = {2010},
  pages = {34-36},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyUMAP10.pdf}
}
proceedings Pechenizkiy, M. & Žliobaite, I. (Eds.) (2010) Proceedings of the Workshop on "Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions" (HaCDAIS'2010) @ ECML/PKDD 2010.
BibTeX:
@misc{PechenizkiyZliobaite_HaCDAIS2010,,
  title = {Proceedings of the Workshop on "Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions" (HaCDAIS'2010) @ ECML/PKDD 2010},
  year = {2010},
  pdf = {http://wwwis.win.tue.nl/hacdais2010/hacdais2010_proceedings.pdf}
}
tutorial abstract Pechenizkiy, M. & Žliobaite, I. (2010) Handling Concept Drift in Medical Applications: Importance, Challenges and Solutions, In Proceedings of IEEE Conference on Computer-Based Medical Systems, pp. 5.
BibTeX:
@inproceedings{PechenizkiyZliobaiteCBMS2010,
  author = {Mykola Pechenizkiy and Indrte Žliobaite},
  title = {Handling Concept Drift in Medical Applications: Importance, Challenges and Solutions},
  booktitle = {Proceedings of IEEE Conference on Computer-Based Medical Systems},
  year = {2010},
  pages = {5},
  doi = {http://dx.doi.org/10.1109/CBMS.2010.6042653}
}
book chapter Puuronen, S. & Pechenizkiy, M. (2010) "Towards the generic framework for utility considerations in data mining research", In Data Mining for Business Applications, pp. 49-65. Amsterdam: IOS Press.
BibTeX:
@incollection{PuuronenBook2010,
  author = {Seppo Puuronen and Mykola Pechenizkiy},
  title = {Towards the generic framework for utility considerations in data mining research},
  booktitle = {Data Mining for Business Applications},
  publisher = {Amsterdam: IOS Press},
  year = {2010},
  pages = {49--65},
  pdf = {http://www.booksonline.iospress.nl/Content/View.aspx?piid=18460}
}
conference Puuronen, S., Pechenizkiy, M., Vasilyeva, E. & Tesanovic, A. (2010) A Holistic Framework for Understanding Acceptance of Remote Patient Management (RPM) Systems by Non-Professional Users, In Proceedings of IEEE Conference on Computer-Based Medical Systems, pp. 426 - 431.
BibTeX:
@inproceedings{PuuronenCBMS2010,
  author = {Seppo Puuronen and Mykola Pechenizkiy and Ekaterina Vasilyeva and Aleksandra Tesanovic},
  title = {A Holistic Framework for Understanding Acceptance of Remote Patient Management (RPM) Systems by Non-Professional Users},
  booktitle = {Proceedings of IEEE Conference on Computer-Based Medical Systems},
  year = {2010},
  pages = {426 - 431},
  doi = {http://dx.doi.org/10.1109/CBMS.2010.6042682},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PuuronenCBMS2010.pdf}
}
book chapter Romero, C., Ventura, S., Pechenizkiy, M. & Baker, R. (2010) "Introduction Chapter", In Handbook of Educational Data Mining. London: CRC Press.
BibTeX:
@incollection{Romero2010,
  author = {Cristobal Romero and Sebastian Ventura and Mykola Pechenizkiy and Ryan Baker},
  title = {Introduction Chapter},
  booktitle = {Handbook of Educational Data Mining},
  publisher = {London: CRC Press},
  year = {2010},
  url = {http://www.crcpress.com/product/isbn/9781439804575;jsessionid=E91eC6ilcL9RXOWLV4osrQ**}
}
conference, short Romero, C., Ventura, S., Vasilyeva, E. & Pechenizkiy, M. (2010) Class Association Rules Mining from Students' Test Data, In Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings, www.educationaldatamining.org, pp. 317-318.
BibTeX:
@inproceedings{RomeroEDM2010,
  author = {Cristóbal Romero and Sebastián Ventura and Ekaterina Vasilyeva and Mykola Pechenizkiy},
  title = {Class Association Rules Mining from Students' Test Data},
  booktitle = {Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings},
  editor = {Ryan Shaun Joazeiro de Baker and Agathe Merceron and Philip I. Pavlik Jr.},
  publisher = {www.educationaldatamining.org},
  year = {2010},
  pages = {317-318},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/RomeroEDM2010.pdf}
}
edited volume Romero, C., Ventura, S., Pechenizkiy, M. & Baker, R. (Eds.) (2010) Handbook of Educational Data Mining, Chapman&Hall/CRC Data Mining and Knowledge Discovery Series, CRC Press, Taylor\&Francis Group.
BibTeX:
@book{RomeroEDMBook10,,
  title = {Handbook of Educational Data Mining},
  publisher = {CRC Press, Taylor&Francis Group},
  year = {2010},
  url = {http://www.crcpress.com/product/isbn/9781439804575},
  doi = {http://www.crcpress.com/product/isbn/9781439804575}
}
editorial Soda, P., Pechenizkiy, M., Tortorella, F. & Tsymbal, A. (2010) Knowledge discovery and computer-based decision support in biomedicine, Artificial Intelligence in Medicine, 50(1), pp. 1-2.
BibTeX:
@article{Sodaetal2010,
  author = {Paolo Soda and Mykola Pechenizkiy and Francesco Tortorella and Alexey Tsymbal},
  title = {Knowledge discovery and computer-based decision support in biomedicine},
  journal = {Artificial Intelligence in Medicine},
  year = {2010},
  volume = {50},
  number = {1},
  pages = {1-2},
  doi = {http://dx.doi.org/10.1016/j.artmed.2010.06.001}
}
book chapter Trčka, N., Pechenizkiy, M. & van der Aalst, W. (2010) "Process Mining from Educational Data (Chapter 9)", In Handbook of Educational Data Mining, pp. 123-142. London: CRC Press.
BibTeX:
@incollection{TrckaEDMBook10,
  author = {Nikola Trčka and Mykola Pechenizkiy and van der Aalst, Wil},
  title = {Process Mining from Educational Data (Chapter 9)},
  booktitle = {Handbook of Educational Data Mining},
  publisher = {London: CRC Press},
  year = {2010},
  pages = {123--142},
  url = {http://www.crcpress.com/product/isbn/9781439804575;jsessionid=E91eC6ilcL9RXOWLV4osrQ**}
}
poster Vasilyeva, E., Pechenizkiy, M., Tesanovic, A., Knutov, E. & De Bra, P. (2010) Towards EDM framework for Personalization of Information Services in RPM Systems, In Proceedings of the 3rd Conference on Educational Data Mining (EDM), pp. 331-332.
BibTeX:
@inproceedings{VasilyevaEDM2010,
  author = {E. Vasilyeva and M. Pechenizkiy and A. Tesanovic and E. Knutov and De Bra, P.},
  title = {Towards EDM framework for Personalization of Information Services in RPM Systems},
  booktitle = {Proceedings of the 3rd Conference on Educational Data Mining (EDM)},
  year = {2010},
  pages = {331--332},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaEDM2010.pdf}
}
conference Zafra, A., Pechenizkiy, M. & Ventura, S. (2010) Reducing Dimensionality in Multiple Instance Learning with a Filter Method, In Proceedings of 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010), Part II, Lecture Notes in Computer Science 6077, Springer, pp. 35-44.
BibTeX:
@inproceedings{ZafraHAIS2010,
  author = {Amelia Zafra and Mykola Pechenizkiy and Sebastián Ventura},
  title = {Reducing Dimensionality in Multiple Instance Learning with a Filter Method},
  booktitle = {Proceedings of 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010), Part II},
  editor = {Emilio Corchado and Manuel Grana Romay and Alexandre Savio},
  publisher = {Springer},
  year = {2010},
  volume = {6077},
  pages = {35-44},
  doi = {http://dx.doi.org/10.1007/978-3-642-13803-4_5},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZafraHAIS10.pdf}
}
conference Zafra, A., Pechenizkiy, M. & Ventura, S. (2010) Feature Selection is the ReliefF for Multiple Instance Learning, In Proceedings of ISDA 2010 Conference, IEEE Computer Society, pp. 525-532.
BibTeX:
@inproceedings{ZafraISDA2010,
  author = {Amelia Zafra and Mykola Pechenizkiy and Sebastián Ventura},
  title = {Feature Selection is the ReliefF for Multiple Instance Learning},
  booktitle = {Proceedings of ISDA 2010 Conference},
  publisher = {IEEE Computer Society},
  year = {2010},
  pages = {525--532},
  doi = {http://dx.doi.org/10.1109/ISDA.2010.5687210},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZafraISDA2010.pdf}
}
workshop Žliobaite, I. & Pechenizkiy, M. (2010) "Learning with Actionable Attributes: attention - boundary cases!", In Proceedings of Domain Driven Data Mining Workshop (DDDM2010) @ ICDM 2010, pp. 1021-1028. IEEE Computer Society.
BibTeX:
@conference{ZliobaiteICDM2010,
  author = {Indrte Žliobaite and Mykola Pechenizkiy},
  title = {Learning with Actionable Attributes: attention - boundary cases!},
  booktitle = {Proceedings of Domain Driven Data Mining Workshop (DDDM2010) @ ICDM 2010},
  publisher = {IEEE Computer Society},
  year = {2010},
  pages = {1021--1028},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZliobaiteICDM2010.pdf}
}
technical report Žliobaite, I. & Pechenizkiy, M. (2010) Reference Framework for Handling Concept Drift: An Application Perspective. Eindhoven University of Technology.
BibTeX:
@techreport{ZliobaiteTECH2010,
  author = {Indre Žliobaite and Mykola Pechenizkiy},
  title = {Reference Framework for Handling Concept Drift: An Application Perspective},
  year = {2010},
  pdf = {https://sites.google.com/site/zliobaite/CD_applications_cases.pdf?attredirects=0}
}
conference Bakker, J. & Pechenizkiy, M. (2009) Food Wholesales Prediction: What is your Baseline?, In Foundations of Intelligent Systems - Proceedings of 18th International Symposium (ISMIS'09), Lecture Notes in Computer Science 5722, Berlin: Springer, pp. 493-502.
BibTeX:
@inproceedings{BakkerISMIS09,
  author = {Jorn Bakker and Mykola Pechenizkiy},
  title = {Food Wholesales Prediction: What is your Baseline?},
  booktitle = {Foundations of Intelligent Systems - Proceedings of 18th International Symposium (ISMIS'09)},
  editor = {J. Rauch, Z.W. Ras, P. Berka, T. Elomaa},
  publisher = {Berlin: Springer},
  year = {2009},
  volume = {5722},
  pages = {493--502},
  doi = {http://dx.doi.org/10.1007/978-3-642-04125-9_52},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/BakkerISMIS09.pdf}
}
workshop Bakker, J., Pechenizkiy, M., Žliobaite, I., Ivannikov, A. & Kärkkäinen, T. (2009) Handling Outliers and Concept Drift in Online Mass Flow Prediction in CFB boilers, In Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data (SensorKDD'09), ACM Press, pp. 13-22.
Abstract: In this paper we consider an application of data mining technology to the analysis of time series data from a pilot circulating fluidized bed (CFB) reactor. We focus on the problem of the online mass prediction in CFB boilers. We present a framework based on switching regression models depending on perceived changes in the data. We analyze three alternatives for change detection. Additionally, a noise canceling and a state determination and windowing mechanisms are used for improving the robustness of online prediction. We validate our ideas on real data collected from the pilot CFB boiler.
BibTeX:
@inproceedings{BakkerSensorsKDD09,
  author = {Bakker, J. and Pechenizkiy, M. and Žliobaite, I. and Ivannikov, A. and Kärkkäinen, T.},
  title = {Handling Outliers and Concept Drift in Online Mass Flow Prediction in CFB boilers},
  booktitle = {Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data (SensorKDD'09)},
  publisher = {ACM Press},
  year = {2009},
  pages = {13--22},
  doi = {http://doi.acm.org/10.1145/1601966.1601972},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/BakkerSensorsKDD09.pdf}
}
proceedings Calders, T., Tuyls, K. & Pechenizkiy, M. (Eds.) (2009) Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC'09).
BibTeX:
@misc{CaldersBNAIC09,,
  title = {Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC'09)},
  year = {2009},
  doi = {http://wwwis.win.tue.nl/bnaic2009/proc.html},
  pdf = {http://wwwis.win.tue.nl/bnaic2009/papers/bnaic2009_proceedings.pdf}
}
editorial Calders, T., Tuyls, K. & Pechenizkiy, M. (2009) Preface to the Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC'09), pp. iii.
BibTeX:
@inproceedings{CaldersBNAICEdit09,
  author = {Toon Calders and Karl Tuyls and Mykola Pechenizkiy},
  title = {Preface to the Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC'09)},
  year = {2009},
  pages = {iii},
  url = {http://wwwis.win.tue.nl/bnaic2009/proc.html},
  pdf = {http://wwwis.win.tue.nl/bnaic2009/papers/bnaic2009_paper_pref.pdf}
}
workshop Calders, T., Kamiran, F. & Pechenizkiy, M. (2009) Building Classifiers with Independency Constraints, In Proceedings of IEEE International Conference on Data Mining ICDM'09 Workshops, IEEE Computer Society, pp. 13-18.
Abstract: In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise for example when the training data is collected from different sources with different labeling criteria or when the data is generated by a biased decision process. When a classifier is trained directly on such data, these undesirable dependencies will carry over to the classifier’s predictions. In order to tackle this problem, we study the classification with independency constraints problem: find an accurate model for which the predictions are independent from a given binary attribute. We propose two solutions for this problem and present an empirical validation.
BibTeX:
@inproceedings{CaldersICDM09,
  author = {Toon Calders and Faisal Kamiran and Mykola Pechenizkiy},
  title = {Building Classifiers with Independency Constraints},
  booktitle = {Proceedings of IEEE International Conference on Data Mining ICDM'09 Workshops},
  publisher = {IEEE Computer Society},
  year = {2009},
  pages = {13--18},
  doi = {http://dx.doi.org/10.1109/ICDMW.2009.83},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/CaldersICDM09.pdf}
}
conference Calders, T., Günther, C.W., Pechenizkiy, M. & Rozinat, A. (2009) Using Minimum Description Length for Process Mining, In Proceedings of the 2009 ACM symposium on Applied Computing (SAC'09), ACM Press, pp. 1451-1455.
Abstract: In the field of process mining, the goal is to automatically extract process models from event logs. Recently, many algorithms have been proposed for this task. For comparing these models, different quality measures have been proposed. Most of these measures, however, have several disadvantages; they are model-dependent, assume that the model that generated the log is known, or need negative examples of event sequences. In this paper we propose a new measure, based on the minimal description length principle, to evaluate the quality of process models that does not have these disadvantages. To illustrate the properties of the new measure we conduct experiments and discuss the trade-off between model complexity and compression.
BibTeX:
@inproceedings{CaldersSAC09,
  author = {Toon Calders and Christian W. Günther and Mykola Pechenizkiy and Anne Rozinat},
  title = {Using Minimum Description Length for Process Mining},
  booktitle = {Proceedings of the 2009 ACM symposium on Applied Computing (SAC'09)},
  publisher = {ACM Press},
  year = {2009},
  pages = {1451--1455},
  doi = {http://doi.acm.org/10.1145/1529282.1529606},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/CaldersSAC09.pdf}
}
editorial De Bra, P. & Pechenizkiy, M. (2009) Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques, In Proceedings of the 20th ACM conference on Hypertext and hypermedia (HT'09), ACM Press, pp. 387-388.
BibTeX:
@inproceedings{DeBraHT09,
  author = {De Bra, Paul and Pechenizkiy, Mykola},
  title = {Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques},
  booktitle = {Proceedings of the 20th ACM conference on Hypertext and hypermedia (HT'09)},
  publisher = {ACM Press},
  year = {2009},
  pages = {387--388},
  doi = {http://doi.acm.org/10.1145/1557914.1558003},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/DeBraHT09.pdf}
}
proceedings De Bra, P. & Pechenizkiy, M. (Eds.) (2009) Proceedings of the Workshop on "Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques" (DAH'09) @ ACM HT'09 Conference.
BibTeX:
@misc{DeBraHTEdit09,,
  title = {Proceedings of the Workshop on "Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques" (DAH'09) @ ACM HT'09 Conference},
  publisher = {CEUR-WS.org},
  year = {2009},
  volume = {473},
  doi = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-473/},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/DeBraHTEdit09.pdf}
}
conference Dekker, G., Pechenizkiy, M. & Vleeshouwers, J. (2009) Predicting Students Drop Out: a Case Study, In Proceedings of the 2nd International Conference on Educational Data Mining (EDM'09), pp. 41-50.
BibTeX:
@inproceedings{DekkerEDM09,
  author = {G.W. Dekker and M. Pechenizkiy and J.M. Vleeshouwers},
  title = {Predicting Students Drop Out: a Case Study},
  booktitle = {Proceedings of the 2nd International Conference on Educational Data Mining (EDM'09)},
  editor = {T. Barnes and M. Desmarais and C. Romero and S. Ventura},
  year = {2009},
  pages = {41--50},
  url = {http://www.educationaldatamining.org/EDM2009/index.php?page=proceedings},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/DekkerEDM09.pdf}
}
conference Ivannikov, A., Pechenizkiy, M., Bakker, J., Leino, T., Jegoroff, M., Kärkkäinen, T. & Äyrämö, S. (2009) Online Mass Flow Prediction in CFB Boilers, In Advances in Data Mining. Applications and Theoretical Aspects, Proceedings of 9th Industrial Conference on Data Mining (ICDM'09), Lecture Notes in Computer Science 5633, Springer, pp. 206-219.
BibTeX:
@inproceedings{IvannikovICDM09,
  author = {Andriy Ivannikov and Mykola Pechenizkiy and Jorn Bakker and Timo Leino and Mikko Jegoroff and Tommi Kärkkäinen and Sami Äyrämö},
  title = {Online Mass Flow Prediction in CFB Boilers},
  booktitle = {Advances in Data Mining. Applications and Theoretical Aspects, Proceedings of 9th Industrial Conference on Data Mining (ICDM'09)},
  editor = {Petra Perner},
  publisher = {Springer},
  year = {2009},
  volume = {5633},
  pages = {206--219},
  doi = {http://dx.doi.org/10.1007/978-3-642-03067-3_17},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/IvannikovICDM09.pdf }
}
poster Knutov, E., De Bra, P. & Pechenizkiy, M. (2009) AH 12 years later: A Comprehensive Survey of Adaptive Hypermedia Methods and Techniques (Extended abstract), In Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC'09), pp. 339-341.
BibTeX:
@inproceedings{KnutovBNAIC09,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {AH 12 years later: A Comprehensive Survey of Adaptive Hypermedia Methods and Techniques (Extended abstract)},
  booktitle = {Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC'09)},
  editor = {Toon Calders and Karl Tuyls and Mykola Pechenizkiy},
  year = {2009},
  pages = {339--341},
  url = {http://wwwis.win.tue.nl/bnaic2009/proc.html},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KnutovBNAIC09.pdf}
}
workshop Knutov, E., De Bra, P. & Pechenizkiy, M. (2009) Versioning in Adaptive Hypermedia, In Proceedings of the 1st DAH'2009 Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques, ACM Hypertext Conference (HT'09), CEUR Workshop Proceedings 473, Aachen: CEUR-WS.org., pp. 61-71.
BibTeX:
@inproceedings{KnutovDAH09,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {Versioning in Adaptive Hypermedia},
  booktitle = {Proceedings of the 1st DAH'2009 Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques, ACM Hypertext Conference (HT'09)},
  editor = {Mykola Pechenizkiy and Paul De Bra},
  publisher = {Aachen: CEUR-WS.org.},
  year = {2009},
  volume = {473},
  pages = {61--71},
  url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-473/},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KnutovDAH09.pdf}
}
journal Knutov, E., De Bra, P. & Pechenizkiy, M. (2009) AH 12 Years Later: a Comprehensive Survey of Adaptive Hypermedia Methods and Techniques, New Review of Hypermedia and Multimedia, 15(1), pp. 5-38.
BibTeX:
@article{KnutovNRHM09,
  author = {Evgeny Knutov and De Bra, Paul and Mykola Pechenizkiy},
  title = {AH 12 Years Later: a Comprehensive Survey of Adaptive Hypermedia Methods and Techniques},
  journal = {New Review of Hypermedia and Multimedia},
  year = {2009},
  volume = {15},
  number = {1},
  pages = {5--38},
  doi = {http://dx.doi.org/10.1080/13614560902801608},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/KnutovNRHM09.pdf}
}
editorial Pechenizkiy, M. & Tsymbal, A. (2009) Guest Editorial for DKE Special Issue on "Biomedical Data Mining", Data & Knowledge Engineering, 68(12), pp. 1357-1358.
BibTeX:
@article{PechenizkiyDKE09,
  author = {Mykola Pechenizkiy and Alexey Tsymbal},
  title = {Guest Editorial for DKE Special Issue on "Biomedical Data Mining"},
  journal = {Data & Knowledge Engineering},
  year = {2009},
  volume = {68},
  number = {12},
  pages = {1357-1358},
  doi = {http://dx.doi.org/10.1016/j.datak.2009.07.001},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyDKE09.pdf}
}
conference Pechenizkiy, M., Trčka, N., Vasilyeva, E., van der Aalst, W. & De Bra, P. (2009) Process Mining Online Assessment Data, In Proceedings of 2nd International Conference on Educational Data Mining (EDM'09), pp. 279-288.
BibTeX:
@inproceedings{PechenizkiyEDM09,
  author = {Mykola Pechenizkiy and Nikola Trčka and Ekaterina Vasilyeva and W.M.P. van der Aalst and De Bra, Paul},
  title = {Process Mining Online Assessment Data},
  booktitle = {Proceedings of 2nd International Conference on Educational Data Mining (EDM'09)},
  editor = {T. Barnes and M. Desmarais and C. Romero and S. Ventura},
  year = {2009},
  pages = {279--288},
  url = {http://www.educationaldatamining.org/EDM2009/index.php?page=proceedings},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyEDM09.pdf}
}
journal Pechenizkiy, M., Bakker, J., Žliobaite, I., Ivannikov, A. & Kärkkäinen, T. (2009) Online Mass Flow Prediction in CFB Boilers with Explicit Detection of Sudden Concept Drift, SIGKDD Explorations, 11(2), pp. 109-116.
BibTeX:
@article{PechenizkiySIGKDDExpl09,
  author = {Pechenizkiy, M. and Bakker, J. and Žliobaite, I. and Ivannikov, A. and Kärkkäinen, T.},
  title = {Online Mass Flow Prediction in CFB Boilers with Explicit Detection of Sudden Concept Drift},
  journal = {SIGKDD Explorations},
  year = {2009},
  volume = {11},
  number = {2},
  pages = {109-116},
  doi = {http://www.sigkdd.org/explorations/issue.php?volume=11\&issue=2\&year=2009\&month=12},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiySIGKDDExpl09.pdf}
}
workshop Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E. (2009) Towards the Second Order Adaptation in the Next Generation Remote Patient Management Systems, In Proceedings of the Workshop on Personalisation for eHealth (Pers4eHealth'09), pp. 34-40.
BibTeX:
@inproceedings{TesanovicAIME09,
  author = {Aleksandra Tesanovic and Goran Manev and Mykola Pechenizkiy and Ekaterina Vasilyeva},
  title = {Towards the Second Order Adaptation in the Next Generation Remote Patient Management Systems},
  booktitle = {Proceedings of the Workshop on Personalisation for eHealth (Pers4eHealth'09)},
  editor = {F. Grasso and C. Paris},
  year = {2009},
  pages = {34--40},
  url = {http://www.csc.liv.ac.uk/~floriana/Pers4eHealth09/Programme.html},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TesanovicAIME09.pdf}
}
poster Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E. (2009) eHealth Personalization in the Next Gneration RPM Systems (Extended abstract), In Proceedings of 21st Benelux Conference on Artificial Intelligence (BNAIC'09), pp. 445-446.
BibTeX:
@inproceedings{TesanovicBNAIC09,
  author = {Aleksandra Tesanovic and Goran Manev and Mykola Pechenizkiy and Ekaterina Vasilyeva},
  title = {eHealth Personalization in the Next Gneration RPM Systems (Extended abstract)},
  booktitle = {Proceedings of 21st Benelux Conference on Artificial Intelligence (BNAIC'09)},
  editor = {Toon Calders and Karl Tuyls and Mykola Pechenizkiy},
  year = {2009},
  pages = {445--446},
  url = {http://wwwis.win.tue.nl/bnaic2009/proc.html},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TesanovicBNAIC09.pdf}
}
conference Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E. (2009) eHealth personalization in the next generation RPM systems, In Proceedings of 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS'09), IEEE Computer Society, pp. 1-8.
BibTeX:
@inproceedings{TesanovicCBMS09,
  author = {Tesanovic, A. and Manev, G. and Pechenizkiy, M. and Vasilyeva, E.},
  title = {eHealth personalization in the next generation RPM systems},
  booktitle = {Proceedings of 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS'09)},
  publisher = {IEEE Computer Society},
  year = {2009},
  pages = {1--8},
  doi = {http://dx.doi.org/10.1109/CBMS.2009.5255383},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TesanovicCBMS09.pdf}
}
journal Tourunen, A., Ivannikov, A., Saastamoinen, J., Kärkkäinen, T., Nevalainen, H. & Pechenizkiy, M. (2009) Online Method to Characterize Char Loading in Fluidized Bed Combustion, Journal of Materials Engineering and Technology, 1(2), pp. 191-203.
BibTeX:
@article{Tourunen2009,
  author = {A. Tourunen and Andriy Ivannikov and J. Saastamoinen and Tommi Kärkkäinen and H. Nevalainen and M. Pechenizkiy},
  title = {Online Method to Characterize Char Loading in Fluidized Bed Combustion},
  journal = {Journal of Materials Engineering and Technology},
  year = {2009},
  volume = {1},
  number = {2},
  pages = {191--203}
}
workshop Trčka, N. & Pechenizkiy, M. (2009) From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining, In Proceedings of Ninth International Conference on Intelligent Systems Design and Applications (ISDA'09), pp. 1114-1119.
Abstract: Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery), (ii) checking whether the modeled behavior (either pre-authored or discovered from data) matches the observed behavior (conformance checking), and (iii) projecting information extracted from the logs onto the model, to make the tacit knowledge explicit and facilitate better understanding of the process (process model extension). In this paper we propose a new domain-driven framework for EPM which assumes that a set of pattern templates can be predefined to focus the mining in a desired way and make it more effective and efficient. We illustrate the ideas behind our approach with examples of academic curricular modeling, mining, and conformance checking, using the student database of our department.
BibTeX:
@inproceedings{TrckaISDA09,
  author = {Nikola Trčka and Mykola Pechenizkiy},
  title = {From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining},
  booktitle = {Proceedings of Ninth International Conference on Intelligent Systems Design and Applications (ISDA'09)},
  year = {2009},
  pages = {1114--1119},
  doi = {http://dx.doi.org/10.1109/ISDA.2009.159},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TrckaISDA09.pdf}
}
poster Žliobaite, I., Bakker, J. & Pechenizkiy, M. (2009) Context Aware Sales Prediction. Extended abstract, In Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC'09), pp. 449-450.
BibTeX:
@inproceedings{ZliobaiteBNAIC09,
  author = {Žliobaite, Indre and Bakker, Jorn and Pechenizkiy, Mykola},
  title = {Context Aware Sales Prediction. Extended abstract},
  booktitle = {Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC'09)},
  editor = {Toon Calders and Karl Tuyls and Mykola Pechenizkiy},
  year = {2009},
  pages = {449--450},
  url = {http://wwwis.win.tue.nl/bnaic2009/proc.html},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZliobaiteBNAIC09.pdf}
}
conference Žliobaite, I., Bakker, J. & Pechenizkiy, M. (2009) OMFP: an Approach for Online Mass Flow Prediction in CFB Boilers, In Proceedings of 12th International Conference on Discovery Science (DS'09), Lecture Notes in Computer Science 5808, Berlin: Springer, pp. 272-286.
BibTeX:
@inproceedings{ZliobaiteDS09,
  author = {Indre Žliobaite and Jorn Bakker and Mykola Pechenizkiy},
  title = {OMFP: an Approach for Online Mass Flow Prediction in CFB Boilers},
  booktitle = {Proceedings of 12th International Conference on Discovery Science (DS'09)},
  editor = {J. Gama and V. Santos Costa and A.M. Jorge and P.B. Brazdil},
  publisher = {Berlin: Springer},
  year = {2009},
  volume = {5808},
  pages = {272--286},
  doi = {http://dx.doi.org/10.1007/978-3-642-04747-3_22},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/ZliobaiteDS09.pdf}
}
workshop Žliobaite, I., Bakker, J. & Pechenizkiy, M. (2009) Towards Context Aware Food Sales Prediction, In Proceedings of IEEE International Conference on Data Mining (ICDM'09) Workshops, IEEE Computer Society, pp. 94-99.
Abstract: Sales prediction is a complex task because of a large number of factors affecting the demand. We present a context aware sales prediction approach, which selects the base predictor depending on the structural properties of the historical sales. In the experimental part we show that there exist product subsets on which, using this strategy, it is possible to outperform naive methods. We also show the dependencies between product categorization accuracies and sales prediction accuracies. A case study of a food wholesaler indicates that moving average prediction can be outperformed by intelligent methods, if proper categorization is in place, which appears to be a difficult task.
BibTeX:
@inproceedings{ZliobaiteICDM09,
  author = {Žliobaite, Indre and Bakker, Jorn and Pechenizkiy, Mykola},
  title = {Towards Context Aware Food Sales Prediction},
  booktitle = {Proceedings of IEEE International Conference on Data Mining (ICDM'09) Workshops},
  editor = {Yücel Saygin and Jeffrey Xu Yu and Hillol Kargupta and Wei Wang and Sanjay Ranka and Philip S. Yu and Xindong Wu},
  publisher = {IEEE Computer Society},
  year = {2009},
  pages = {94--99},
  doi = {http://dx.doi.org/10.1109/ICDMW.2009.60},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/ZliobaiteDDDM09.pdf}
}
proceedings Bridewell, W., Calders, T., Medeiros, A., Kramer, S., Pechenizkiy, M. & Todorovski, L. (Eds.) (2008) Proceedings of the International Workshop on Induction of Process Models (IPM'08) @ ECML/PKDD 2008.
BibTeX:
@misc{BridewellIPM08,,
  title = {Proceedings of the International Workshop on Induction of Process Models (IPM'08) @ ECML/PKDD 2008},
  year = {2008},
  doi = {http://wwwkramer.in.tum.de/ipm08/program.html}
}
poster De Bra, P., Pechenizkiy, M., van der Sluijs, K. & Smits, D. (2008) GRAPPLE: Integrating Adaptive Learning into Learning Management Systems, In Proceedings of International Conference on Educational Multimedia, Hypermedia & Telecommunications (ED-MEDIA'08), AACE Press, pp. 5183-5188.
BibTeX:
@inproceedings{DeBraEDMEDIA08,
  author = {De Bra, Paul and Mykola Pechenizkiy and Kees van der Sluijs and David Smits},
  title = {GRAPPLE: Integrating Adaptive Learning into Learning Management Systems},
  booktitle = {Proceedings of International Conference on Educational Multimedia, Hypermedia & Telecommunications (ED-MEDIA'08)},
  publisher = {AACE Press},
  year = {2008},
  pages = {5183--5188},
  url = {http://www.editlib.org/?fuseaction=Reader.PrintAbstract&paper_id=29093},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/DeBraEDMEDIA08.pdf}
}
poster De Bra, P., Smits, D., Pechenizkiy, M. & Vasilyeva, E. (2008) Adaptivity in GRAPPLE: Adaptation in Any Way You Like, In Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (E-Learn'08), AACE, pp. 3654-3659.
BibTeX:
@inproceedings{DeBraELearn08,
  author = {De Bra, Paul and David Smits and Mykola Pechenizkiy and Ekaterina Vasilyeva},
  title = {Adaptivity in GRAPPLE: Adaptation in Any Way You Like},
  booktitle = {Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (E-Learn'08)},
  publisher = {AACE},
  year = {2008},
  pages = {3654--3659},
  url = {http://www.editlib.org/p/30194},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/DeBraELearn08.pdf }
}
conference Hendrix, M., De Bra, P., Pechenizkiy, M., Smits, D. & Cristea, A.I. (2008) Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model, In Times of Convergence. Technologies Across Learning Contexts, Proceedings of 3rd European Conference on Technology Enhanced Learning (EC-TEL'08), pp. 132-143.
BibTeX:
@inproceedings{HendrixECTEL08,
  author = {Maurice Hendrix and De Bra, Paul and Mykola Pechenizkiy and David Smits and Alexandra I. Cristea},
  title = {Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model},
  booktitle = {Times of Convergence. Technologies Across Learning Contexts, Proceedings of 3rd European Conference on Technology Enhanced Learning (EC-TEL'08)},
  year = {2008},
  pages = {132--143},
  doi = {http://dx.doi.org/10.1007/978-3-540-87605-2_16},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/HendrixECTEL08.pdf}
}
workshop Meulstee, P. & Pechenizkiy, M. (2008) Food Sales Prediction: "If Only It Knew What We Know", In Proceedings of IEEE International Conference on Data Mining (ICDM'08) Workshops, pp. 134-143.
BibTeX:
@inproceedings{MeulsteeICDM08,
  author = {Meulstee, P. and Pechenizkiy, M. },
  title = {Food Sales Prediction: "If Only It Knew What We Know"},
  booktitle = {Proceedings of IEEE International Conference on Data Mining (ICDM'08) Workshops},
  year = {2008},
  pages = {134--143},
  doi = {http://dx.doi.org/10.1109/ICDMW.2008.128},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/MeulsteeDDDM08.pdf}
}
book chapter Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2008) "Does Relevance Matter to Data Mining Research?", In Data Mining: Foundations and Practice. Vol. 118, pp. 251-275. Springer: Berlin/Heidelberg.
BibTeX:
@incollection{PechenizkiyDMFP08,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Alexey Tsymbal},
  title = {Does Relevance Matter to Data Mining Research?},
  booktitle = {Data Mining: Foundations and Practice},
  publisher = {Springer: Berlin/Heidelberg},
  year = {2008},
  volume = {118},
  pages = {251--275},
  doi = {http://dx.doi.org/10.1007/978-3-540-78488-3_15},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyDMFP08.pdf}
}
conference Pechenizkiy, M., Calders, T., Vasilyeva, E. & De Bra, P. (2008) Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study, In Proceedings of the 2nd Conference on Educational Data Mining (EDM'08), pp. 187-191.
BibTeX:
@inproceedings{PechenizkiyEDM08,
  author = {Mykola Pechenizkiy and Toon Calders and Ekaterina Vasilyeva and De Bra, Paul},
  title = {Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study},
  booktitle = {Proceedings of the 2nd Conference on Educational Data Mining (EDM'08)},
  year = {2008},
  pages = {187--191},
  url = {http://www.educationaldatamining.org/EDM2008/index.php?page=proceedings},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyEDM08.pdf}
}
journal Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2008) Towards more Relevance-Oriented Data Mining Research, Intelligent Data Analysis, 12(2), pp. 237-249.
BibTeX:
@article{PechenizkiyIDA08,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Alexey Tsymbal},
  title = {Towards more Relevance-Oriented Data Mining Research},
  journal = {Intelligent Data Analysis},
  year = {2008},
  volume = {12},
  number = {2},
  pages = {237--249},
  doi = {http://iospress.metapress.com/content/7115263j705612n1/},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyIDA08.pdf}
}
conference Puuronen, S., Pechenizkiy, M. & Tsymbal, A. (2008) Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance, In Proceedings of 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08), IEEE Computer Society, pp. 632-637.
Abstract: In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may change over time as pathogen strains develop resistance to antibiotics that were previously effective. This problem, known as concept drift (CD), complicates the task of learning a robust model. Different ensemble learning (EL) approaches (that instead of learning a single classifier try to learn and maintain a set of classifiers over time) have been shown to perform reasonably well in the presence of concept drift. In this paper we study how much local feature selection (FS) can improve ensemble performance for data with concept drift. Our results show that FS may improve the performance of different EL strategies, yet being more important for EL with static integration of classifiers like (weighted) voting. Further, the improvement of EL due to FS can be explained by its effect on the accuracy and diversity of base classifiers. The results also provide some additional evidence that diversity can be better utilized with the dynamic integration of classifiers.
BibTeX:
@inproceedings{PuuronenCBMS08,
  author = {Seppo Puuronen and Mykola Pechenizkiy and Alexey Tsymbal},
  title = {Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance},
  booktitle = {Proceedings of 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08)},
  publisher = {IEEE Computer Society},
  year = {2008},
  pages = {632--637},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.22},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PuuronenCBMS08.pdf}
}
editorial Puuronen, S., Pechenizkiy, M. & Tsymbal, A. (2008) Preface to the Proceedings of 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08), IEEE Computer Society, pp. xv.
BibTeX:
@inproceedings{PuuronenCBMSPref08,
  author = {Seppo Puuronen and Mykola Pechenizkiy and Alexey Tsymbal},
  title = {Preface to the Proceedings of 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08)},
  publisher = {IEEE Computer Society},
  year = {2008},
  pages = {xv},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.4},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PuuronenCBMSPref08.pdf}
}
proceedings Puuronen, S., Pechenizkiy, M., Tsymbal, A. & Lee, D.-J. (Eds.) (2008) Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08).
BibTeX:
@misc{PuuronenCMBSProc08,,
  title = {Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08)},
  publisher = {IEEE Computer Society},
  year = {2008},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.3}
}
journal Tsymbal, A., Pechenizkiy, M., Cunningham, P. & Puuronen, S. (2008) Dynamic Integration of Classifiers for Handling Concept Drift, Information Fusion, Special Issue on Applications of Ensemble Methods, 9(1), pp. 56-68.
BibTeX:
@article{TsymbalIF08,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham and Seppo Puuronen},
  title = {Dynamic Integration of Classifiers for Handling Concept Drift},
  journal = {Information Fusion, Special Issue on Applications of Ensemble Methods},
  year = {2008},
  volume = {9},
  number = {1},
  pages = {56--68},
  doi = {http://dx.doi.org/10.1016/j.inffus.2006.11.002},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalIF08.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M. & De Bra, P. (2008) Adaptation of Elaborated Feedback in e-Learning, In Proceedings of International Conference on Adaptive Hypermedia (AH'08), pp. 235-244.
BibTeX:
@inproceedings{VasilyevaAH08,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and De Bra, Paul},
  title = {Adaptation of Elaborated Feedback in e-Learning},
  booktitle = {Proceedings of International Conference on Adaptive Hypermedia (AH'08)},
  year = {2008},
  pages = {235-244},
  doi = {http://dx.doi.org/10.1007/978-3-540-70987-9_26},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaACH08.pdf}
}
conference Vasilyeva, E., De Bra, P. & Pechenizkiy, M. (2008) Immediate Elaborated Feedback Personalization in Online Assessment, In Times of Convergence. Technologies Across Learning Contexts, Proceedings of 3rd European Conference on Technology Enhanced Learning (EC-TEL'08), pp. 449-460.
BibTeX:
@inproceedings{VasilyevaECTEL08,
  author = {Ekaterina Vasilyeva and De Bra, Paul and Mykola Pechenizkiy},
  title = {Immediate Elaborated Feedback Personalization in Online Assessment},
  booktitle = {Times of Convergence. Technologies Across Learning Contexts, Proceedings of 3rd European Conference on Technology Enhanced Learning (EC-TEL'08)},
  year = {2008},
  pages = {449--460},
  doi = {http://dx.doi.org/10.1007/978-3-540-87605-2_50},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaECTEL08.pdf}
}
conference Vasilyeva, E., De Bra, P. & Pechenizkiy, M. (2008) Tailoring of Feedback in Online Assessment: Lessons Learnt, In Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (E-Learn'08), AACE, pp. 518-525.
BibTeX:
@inproceedings{VasilyevaELEARN08Full,
  author = {Ekaterina Vasilyeva and De Bra, Paul and Mykola Pechenizkiy},
  title = {Tailoring of Feedback in Online Assessment: Lessons Learnt},
  booktitle = {Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (E-Learn'08)},
  publisher = {AACE},
  year = {2008},
  pages = {518--525},
  url = { http://www.editlib.org/p/29654 },
  pdf = {http://wwwis.win.tue.nl/~mpechen/publications/pubs/VasilyevaELEARN08Full.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M. & De Bra, P. (2008) Analysis of Feedback Authoring Possibilities in Web-based Learning Systems, In Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (E-Learn'08), AACE, pp. 3981-3986.
BibTeX:
@inproceedings{VasilyevaELEARN08Short,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and De Bra, Paul},
  title = {Analysis of Feedback Authoring Possibilities in Web-based Learning Systems},
  booktitle = {Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (E-Learn'08)},
  publisher = {AACE},
  year = {2008},
  pages = {3981--3986},
  url = {http://www.editlib.org/p/30244},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaELEARN08Short.pdf}
}
conference Vasilyeva, E., De Bra, P., Pechenizkiy, M. & Puuronen, S. (2008) Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness, In Proceedings of 8th IEEE International Conference on Advanced Learning Technologies (ICALT'08), pp. 834-838.
Abstract: Design of feedback is a critical issue of online assessment development within Web-based Learning Systems (WBLSs). This paper examines the potential possibilities of tailoring the feedback that is presented to a student as a result of his/her preferences and responses to questions of an online test with respect to the individual learning styles (LS). The paper briefly reviews the main types of feedback that can be presented during online assessment and discusses the challenges in authoring and tailoring of feedback in WBLSs. We report the results of some recent experiments organized as online assessment of students through multiple-choice quizzes in which students were able to request different kinds of feedback for the answered questions. The experimental results have confirmed that LS have a significant influence on (1) the feedback preferences (with regard to response certitude and correctness) of students and (2) the effectiveness of elaborated feedback (EF), i.e. improving studentspsila performance during the test.
BibTeX:
@inproceedings{VasilyevaICALT08,
  author = {Ekaterina Vasilyeva and De Bra, Paul and Mykola Pechenizkiy and Seppo Puuronen},
  title = {Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness},
  booktitle = {Proceedings of 8th IEEE International Conference on Advanced Learning Technologies (ICALT'08)},
  year = {2008},
  pages = {834-838},
  doi = {http://dx.doi.org/10.1109/ICALT.2008.66},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaICALT08.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M. & De Bra, P. (2008) Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment, In Proceedings of 9th International Conference (ITS'08), Lecture Notes in Computer Science 5091, Springer, pp. 771-773.
BibTeX:
@inproceedings{VasilyevaITS08,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and De Bra, Paul},
  title = {Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment},
  booktitle = {Proceedings of 9th International Conference (ITS'08)},
  editor = {Beverly Park Woolf and Esma Ameur and Roger Nkambou and Susanne P. Lajoie},
  publisher = {Springer},
  year = {2008},
  volume = {5091},
  pages = {771-773},
  doi = {http://dx.doi.org/10.1007/978-3-540-69132-7_104},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaITS08.pdf}
}
editorial Beck, J.E., Calders, T., Pechenizkiy, M. & Viola, S.R. (2007) Workshop on Educational Data Mining @ ICALT 2007 (EDM@ICALT'07), In Proceedings of 7th IEEE International Conference on Advanced Learning Technologies (ICALT'07), IEEE Computer Society, pp. 933-934.
Abstract: The educational data mining workshop1 held in conjunction with the 7 IEEE International Conference on Advanced Learning Technologies (ICALT) in Niigata, Japan on July 18-20, 2007. EDM@ICALT07 continues the series of Workshops organized by the International Working Group on Educational Data Mining during 2007. For upcoming events in educational data mining and for information on past workshops. Recently, the increase in dissemination of interactive learning environments has allowed the collection of huge amounts of data. An effective way of discovering new knowledge from large and complex data sets is data mining. The EDM workshop aimed for papers that study how to apply data mining to analyze data generated by learning systems or experiments, as well as how discovered information can be used to improve adaptation and personalization. Interesting problems data mining can help to solve are: determining what are common learning styles or strategies, predicting the knowledge and interests of a user based on past behavior, partitioning a heterogeneous group of users into homogeneous clusters, etc.
BibTeX:
@inproceedings{BeckEDMICALT07,
  author = {Beck, J. E. and Calders, T. and Pechenizkiy, M. and Viola, S. R.},
  title = {Workshop on Educational Data Mining @ ICALT 2007 (EDM@ICALT'07)},
  booktitle = {Proceedings of 7th IEEE International Conference on Advanced Learning Technologies (ICALT'07)},
  publisher = {IEEE Computer Society},
  year = {2007},
  pages = {933--934},
  doi = {http://dx.doi.org/10.1109/ICALT.2007.286},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/BeckICALT07.pdf}
}
proceedings Beck, J.E., Calders, T., Pechenizkiy, M. & Viola, S.R. (Eds.) (2007) Proceedings of the Workshop on Educational Data Mining @ ICALT 2007 (EDM@ICALT'07).
BibTeX:
@misc{BeckEDMT07,,
  title = {Proceedings of the Workshop on Educational Data Mining @ ICALT 2007 (EDM@ICALT'07)},
  publisher = {CEUR-WS.org},
  year = {2007},
  doi = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-305/},
  pdf = {http://www.educationaldatamining.org/adml.pdf}
}
conference Mertik, M., Pechenizkiy, M., Stiglic, G. & Kokol, P. (2007) Using Cellular Automata for Feature Construction - Preliminary Study, In Proceedings of Inaugural IEEE-IES Digital EcoSystems and Technologies Conference (DEST'07), pp. 479-484.
Abstract: When first faced with a learning task, it is often not clear what a good representation of the training data should look like. We are often forced to create some set of features that appear plausible, without any strong confidence that they will yield superior learning. Beside, we often do not have any prior knowledge of what learning method is the best to apply, and thus often try multiple methods in an attempt to find the one that performs best. This paper describes a new method and its preliminary study for constructing features based on cellular automata (CA). Our approach uses self-organisation ability of cellular automata by constructing features being most efficient for making predictions. We present and compare the CA approach with standard genetic algorithm (GA) which both use genetic programming (GP) for constructing the features. We show and discuss some interesting properties of using CA approach in our preliminary experimental study by constructing features on synthetically generated dataset and benchmark datasets from the UCI machine learning repository. Based on the interesting results, we conclude with directions and orientation of the future work with ideas of applicability of CA approach in the feature.
BibTeX:
@inproceedings{MertikEcoSystems07,
  author = {Mertik, M. and Pechenizkiy, M. and Stiglic, G. and Kokol, P.},
  title = {Using Cellular Automata for Feature Construction - Preliminary Study},
  booktitle = {Proceedings of Inaugural IEEE-IES Digital EcoSystems and Technologies Conference (DEST'07)},
  year = {2007},
  pages = {479--484},
  doi = {http://dx.doi.org/10.1109/DEST.2007.372023},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/MetrikEcoSystems07.pdf}
}
journal Pechenizkiy, M., Tsymbal, A., Puuronen, S. & Patterson, D.W. (2007) Feature Extraction for Dynamic Integration of Classifiers, Fundamenta Informaticae, 77(3), pp. 243-275.
BibTeX:
@article{PechenizkiyFI07,
  author = {Mykola Pechenizkiy and Alexey Tsymbal and Seppo Puuronen and David W. Patterson},
  title = {Feature Extraction for Dynamic Integration of Classifiers},
  journal = {Fundamenta Informaticae},
  year = {2007},
  volume = {77},
  number = {3},
  pages = {243--275},
  doi = {http://iospress.metapress.com/index/E1N6040726164RV2.pdf},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyFI07.pdf}
}
workshop Pechenizkiy, M. & Calders, T. (2007) A Framework for Guiding the Museum Tour Personalization, In Proceedings of International Workshop on Personalization Enhanced Access to Cultural Heritage (PATCH'07) @ UM 2007 Conference, IIT, NCSR Demokritos, pp. 11-28.
BibTeX:
@inproceedings{PechenizkiyPATCH07,
  author = {Mykola Pechenizkiy and Toon Calders},
  title = {A Framework for Guiding the Museum Tour Personalization},
  booktitle = {Proceedings of International Workshop on Personalization Enhanced Access to Cultural Heritage (PATCH'07) @ UM 2007 Conference},
  editor = {L.M. Aroyo and T. Kuflik and O. Stock and M. Zancanaro},
  publisher = {IIT, NCSR Demokritos},
  year = {2007},
  pages = {11--28},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyPATCH07.pdf}
}
proceedings Romero, C., Pechenizkiy, M., Calders, T., Viola, S.R. & Assche, F.V. (Eds.) (2007) Proceedings of International Workshop on Applying Data Mining in e-Learning (ADML'07) @ ECTEL 2007 Conference.
BibTeX:
@misc{RomeroADML07,,
  title = {Proceedings of International Workshop on Applying Data Mining in e-Learning (ADML'07) @ ECTEL 2007 Conference},
  publisher = {CEUR-WS.org},
  year = {2007},
  doi = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-305/},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/RomeroADML07.pdf}
}
editorial Romero, C., Pechenizkiy, M., Calders, T., Viola, S.R. & Assche, F.V. (2007) Preface to the Proceedings of International Workshop on Applying Data Mining in e-Learning (ADML'07) @ ECTEL 2007 Conference, CEUR-WS.org, pp. 1.
BibTeX:
@inproceedings{RomeroADML07Edit,
  author = {Cristobal Romero and Mykola Pechenizkiy and Toon Calders and Silvia R. Viola and Frans Van Assche},
  title = {Preface to the Proceedings of International Workshop on Applying Data Mining in e-Learning (ADML'07) @ ECTEL 2007 Conference},
  publisher = {CEUR-WS.org},
  year = {2007},
  pages = {1},
  url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-305/},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/RomeroADML07.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M., Gavrilova, T. & Puuronen, S. (2007) Personalization of Immediate Feedback to Learning Styles, In Proceedings of 7th IEEE International Conference on Advanced Learning Technologies (ICALT'07), IEEE Computer Society, pp. 622-624.
BibTeX:
@inproceedings{VasilyevaICALT07,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and Tatiana Gavrilova and Seppo Puuronen},
  title = {Personalization of Immediate Feedback to Learning Styles},
  booktitle = {Proceedings of 7th IEEE International Conference on Advanced Learning Technologies (ICALT'07)},
  editor = {Michael Spector and Demetrios G. Sampson and Toshio Okamoto and Kinshuk and Stefano A. Cerri and Maomi Ueno and Akihiro Kashihara},
  publisher = {IEEE Computer Society},
  year = {2007},
  pages = {622--624},
  doi = {http://dx.doi.org/10.1109/ICALT.2007.200},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaICALT07.pdf}
}
journal Vasilyeva, E., Puuronen, S., Pechenizkiy, M. & Rasanen, P. (2007) Feedback Adaptation in Web-Based Learning Systems, International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), 17(4/5), pp. 337-357.
BibTeX:
@article{VasilyevaIJCEELL07,
  author = {Ekaterina Vasilyeva and Seppo Puuronen and Mykola Pechenizkiy and Pekka Rasanen},
  title = {Feedback Adaptation in Web-Based Learning Systems},
  journal = {International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL)},
  year = {2007},
  volume = {17},
  number = {4/5},
  pages = {337--357},
  doi = {http://dx.doi.org/10.1504/IJCEELL.2007.015046},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaIJCEELL07.pdf}
}
workshop Vasilyeva, E., Pechenizkiy, M. & De Bra, P. (2007) Adaptation of Feedback in e-Learning System at Individual and Group Level, In Proceedings of International Workshop on Personalization in E-Learning Environments at Individual and Group Level (PING'07) @ UM 2007 Conference, pp. 49-56.
BibTeX:
@inproceedings{VasilyevaPING07,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and De Bra, Paul},
  title = {Adaptation of Feedback in e-Learning System at Individual and Group Level},
  booktitle = {Proceedings of International Workshop on Personalization in E-Learning Environments at Individual and Group Level (PING'07) @ UM 2007 Conference},
  editor = {Peter Brusilovsky and Maria Grigoriadou and Kyparissia Papanikolaou},
  year = {2007},
  pages = {49--56},
  pdf = {http://hermis.di.uoa.gr/PeLEIGL/PING07-proceedings.pdf}
}
conference Pechenizkiy, M., Tsymbal, A., Puuronen, S. & Pechenizkiy, O. (2006) Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction, In Proceedings of 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS'06), IEEE Computer Society, pp. 708-713.
BibTeX:
@inproceedings{PechenizkiyCBMS06,
  author = {Mykola Pechenizkiy and Aleksey Tsymbal and Seppo Puuronen and Oleksandr Pechenizkiy},
  title = {Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction},
  booktitle = {Proceedings of 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS'06)},
  publisher = {IEEE Computer Society},
  year = {2006},
  pages = {708--713},
  doi = {http://dx.doi.org/10.1109/CBMS.2006.65},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyCBMS06.pdf}
}
workshop Pechenizkiy, M., Tourunen, A., Kärkkäinen, T., Ivannikov, A. & Nevalainen, H. (2006) Towards Better Understanding of Circulating Fluidized Bed Boilers: a Data Mining Approach, In Proceedings ECML/PKDD Workshop on Practical Data Mining: Applications, Experiences and Challenges (DMBiz'06), pp. 80-83.
BibTeX:
@inproceedings{PechenizkiyECML06,
  author = {Mykola Pechenizkiy and Antti Tourunen and Tommi Kärkkäinen and Andriy Ivannikov and H. Nevalainen },
  title = {Towards Better Understanding of Circulating Fluidized Bed Boilers: a Data Mining Approach},
  booktitle = {Proceedings ECML/PKDD Workshop on Practical Data Mining: Applications, Experiences and Challenges (DMBiz'06)},
  year = {2006},
  pages = {80-83},
  pdf = { http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyECML06.pdf }
}
journal Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2006) On Combining Principal Components with Parametric LDA-based Feature Extraction for Supervised Learning, Foundations of Computing and Decision Sciences, Special Issue ”Data Mining and Knowledge Discovery”, 31(1), pp. 59-73.
BibTeX:
@article{PechenizkiyFCDS06,
  author = {Mykola Pechenizkiy and Aleksey Tsymbal and Seppo Puuronen},
  title = {On Combining Principal Components with Parametric LDA-based Feature Extraction for Supervised Learning},
  journal = {Foundations of Computing and Decision Sciences, Special Issue ”Data Mining and Knowledge Discovery”},
  year = {2006},
  volume = {31},
  number = {1},
  pages = {59--73},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyFCDS06.pdf}
}
journal Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2006) Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis, IEEE Transactions on Information Technology in Biomedicine, 10(3), pp. 533-539.
BibTeX:
@article{PechenizkiyITBM06,
  author = {Pechenizkiy, M. and Tsymbal, A. and Puuronen, S.},
  title = {Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis},
  journal = {IEEE Transactions on Information Technology in Biomedicine},
  year = {2006},
  volume = {10},
  number = {3},
  pages = {533--539},
  doi = {http://dx.doi.org/10.1109/TITB.2006.875654},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyITBM06.pdf}
}
conference Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2006) The Impact of Sample Reduction on PCA-based Feature Extraction for Supervised Learning, In Proceedings of the ACM symposium on Applied computing (SAC'06), ACM Press, pp. 553-558.
Abstract: "The curse of dimensionality" is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimensions. In this paper, different feature extraction (FE) techniques are analyzed as means of dimensionality reduction, and constructive induction with respect to the performance of Nave Bayes classifier. When a data set contains a large number of instances, some sampling approach is applied to address the computational complexity of FE and classification processes. The main goal of this paper is to show the impact of sample reduction on the process of FE for supervised learning. In our study we analyzed the conventional PCA and two eigenvector-based approaches that take into account class information. The first class-conditional approach is parametric and optimizes the ratio of between-class variance to the within-class variance of the transformed data. The second approach is a nonparametric modification of the first one based on the local calculation of the between-class covariance matrix. The experiments are conducted on ten UCI data sets, using four different strategies to select samples: (1) random sampling, (2) stratified random sampling, (3) kd-tree based selective sampling, and (4) stratified sampling with kd-tree based selection. Our experiments show that if the sample size for FE model construction is small then it is important to take into account both class information and data distribution. Further, for supervised learning the nonparametric FE approach needs much less instances to produce a new representation space that result in the same or higher classification accuracy than the other FE approaches.
BibTeX:
@inproceedings{PechenizkiySAC06,
  author = {Pechenizkiy, Mykola and Puuronen, Seppo and Tsymbal, Alexey},
  title = {The Impact of Sample Reduction on PCA-based Feature Extraction for Supervised Learning},
  booktitle = {Proceedings of the ACM symposium on Applied computing (SAC'06)},
  publisher = {ACM Press},
  year = {2006},
  pages = {553--558},
  url = {http://dblp.uni-trier.de/db/conf/sac/sac2006.html#PechenizkiyPT06},
  doi = {http://doi.acm.org/10.1145/1141277.1141406},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiySAC06.pdf}
}
workshop, keynote Puuronen, S., Pechenizkiy, M. & Tsymbal, A. (2006) Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field, In Proc. 17th International Conference on Database and Expert Systems Applications (DEXA'06), IEEE Computer Society, pp. 579-583.
Abstract: Data mining as an applied research field is still causing great expectations among organizations which want to raise the utility they are getting from their huge databases and data warehouses. There exist too few success stories about organizations having managed to satisfy even some of those expectations. This situation is very similar to the one inside the information systems (IS) field, especially earlier but even currently. The recent lively debate about the identity of the IS discipline included also the analysis concerning the customers of IS research. Inspired by IS researchers' insights related to the topic, we ask the question "who is our customer?" as data mining researchers. With this we want to raise to discussion the border that limits the topics 'acceptable' to work with as a data mining researcher. We suggest in this paper that the border should be transferred more clearly towards the direction so that beside the technical concerns also at least some user- and organization-related research questions are included
BibTeX:
@inproceedings{PuuronenDEXA06,
  author = {Puuronen, S. and Pechenizkiy, M. and Tsymbal, A.},
  title = {Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field},
  booktitle = {Proc. 17th International Conference on Database and Expert Systems Applications (DEXA'06)},
  publisher = {IEEE Computer Society},
  year = {2006},
  pages = {579--583},
  url = {http://dblp.uni-trier.de/db/conf/dexaw/dexaw2006.html#PuuronenPT06},
  doi = {http://dx.doi.org/10.1109/DEXA.2006.81},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PuuronenDEXA06.pdf}
}
editorial Rennolls, K., Delisle, S. & Pechenizkiy, M. (2006) Preface to the Proceedings of 2nd International Workshop on Philosophies and Methodologies for Knowledge Discovery, Deployment, and Development of Decision Support Systems, In Proceedings of the 17th International Conference on Database and Expert Systems Applications (DEXA'06), IEEE Computer Society, pp. 577-578.
BibTeX:
@inproceedings{RennollsPMKD06,
  author = {Keith Rennolls and Sylvain Delisle and Mykola Pechenizkiy},
  title = {Preface to the Proceedings of 2nd International Workshop on Philosophies and Methodologies for Knowledge Discovery, Deployment, and Development of Decision Support Systems},
  booktitle = {Proceedings of the 17th International Conference on Database and Expert Systems Applications (DEXA'06)},
  publisher = {IEEE Computer Society},
  year = {2006},
  pages = {577--578},
  pdf = {http://csdl2.computer.org/comp/proceedings/dexa/2006/2641/00/26410577.pdf}
}
conference Tsymbal, A., Pechenizkiy, M., Cunningham, P. & Puuronen, S. (2006) Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections., In Proceedings of 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS'06), IEEE Computer Society, pp. 679-684.
BibTeX:
@inproceedings{TsymbalCBMS2006,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham and Seppo Puuronen},
  title = {Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections.},
  booktitle = {Proceedings of 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS'06)},
  publisher = {IEEE Computer Society},
  year = {2006},
  pages = {679--684},
  url = {http://dblp.uni-trier.de/db/conf/cbms/cbms2006.html#TsymbalPCP06},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.94},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalCBMS06.pdf}
}
conference Tsymbal, A., Pechenizkiy, M. & Cunningham, P. (2006) Dynamic Integration with Random Forests, In Proceedings of 17th European Conference on Machine Learning (ECML/PKDD 2006), Lecture Notes in Computer Science 4212, Springer, pp. 801-808.
BibTeX:
@inproceedings{TsymbalECML06,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham},
  title = {Dynamic Integration with Random Forests},
  booktitle = {Proceedings of 17th European Conference on Machine Learning (ECML/PKDD 2006)},
  editor = {Johannes Fürnkranz and Tobias Scheffer and Myra Spiliopoulou},
  publisher = {Springer},
  year = {2006},
  volume = {4212},
  pages = {801--808},
  url = {http://dblp.uni-trier.de/db/conf/ecml/ecml2006.html#TsymbalPC06},
  doi = {http://dx.doi.org/10.1007/11871842_82},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalECML06.pdf}
}
technical report Tsymbal, A., Pechenizkiy, M. & Cunningham, P. (2006) Dynamic Integration with Random Forests. Dept of Computer Science, Trinity College Dublin, Ireland, TCD-CS-2006-23.
BibTeX:
@techreport{TsymbalTechRep06,
  author = {Aleksey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham},
  title = {Dynamic Integration with Random Forests},
  year = {2006},
  number = {TCD-CS-2006-23},
  pdf = {http://www.cs.tcd.ie/publications/tech-reports/reports.06/TCD-CS-2006-23.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M. & Puuronen, S. (2006) The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System, In Proceedings of 6th International Conference on Advanced Learning Technologies (ICALT'06), IEEE Computer Society, pp. 1143-1144.
Abstract: Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In Web-based learning systems (WBLS), feedback is particularly important in test and evaluation tasks. The main objective of the paper is twofold: (I) to encourage WBLS designers and specialists to pay more attention to the problem of feedback adaptation, and (2) to analyze suggestions for feedback personalization to learning styles in a WBLS
BibTeX:
@inproceedings{VasilyevaICALT06,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and Seppo Puuronen},
  title = {The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System},
  booktitle = {Proceedings of 6th International Conference on Advanced Learning Technologies (ICALT'06)},
  publisher = {IEEE Computer Society},
  year = {2006},
  pages = {1143--1144},
  url = {http://dblp.uni-trier.de/db/conf/icalt/icalt2006.html#VasilyevaPP06},
  doi = {http://dx.doi.org/10.1109/ICALT.2006.1652664},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaICALT06.pdf}
}
workshop Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2005) On Combining Principal Components with Parametric LDA-based Feature Extraction for Supervised Learning, In Proceedings of 1st International Workshop on Data Mining and Knowledge Discovery (ADMKD'05), pp. 47-56.
BibTeX:
@inproceedings{PechenizkiyADMKD05,
  author = {Mykola Pechenizkiy and Aleksey Tsymbal and Seppo Puuronen},
  title = {On Combining Principal Components with Parametric LDA-based Feature Extraction for Supervised Learning},
  booktitle = {Proceedings of 1st International Workshop on Data Mining and Knowledge Discovery (ADMKD'05)},
  editor = {T.Morzy et al.},
  year = {2005},
  pages = {47--56},
  url = {http://www.cs.ioc.ee/adbis2005/index.php?page=26},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyADMKD05.pdf}
}
conference Pechenizkiy, M. (2005) The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5., In Canadian Conference on AI, Lecture Notes in Computer Science 3501, Springer, pp. 268-279.
BibTeX:
@inproceedings{PechenizkiyCanAI05,
  author = {Mykola Pechenizkiy},
  title = {The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5.},
  booktitle = {Canadian Conference on AI},
  editor = {Balázs Kégl and Guy Lapalme},
  publisher = {Springer},
  year = {2005},
  volume = {3501},
  pages = {268--279},
  doi = {http://dx.doi.org/10.1007/11424918_28},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyCanAI05.pdf}
}
conference Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2005) Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis, In Proceedings of 18th IEEE Symposium on Computer-Based Medical Systems (CBMS '05), IEEE Computer Society, pp. 365-370.
Abstract: Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before applying a learning algorithm. Especially it is important for multidimensional heterogeneous data, presented by a large number of features of different types. Dimensionality reduction is one commonly applied approach. The goal of this paper is to study the impact of natural clustering on dimensionality reduction for classification. We compare several data mining strategies that apply dimensionality reduction by means of feature extraction or feature selection for subsequent classification. We show experimentally on microbiological data that local dimensionality reduction within natural clusters results in a better feature space for classification in comparison with the global search in terms of generalization accuracy.
BibTeX:
@inproceedings{PechenizkiyCBMS05,
  author = {Pechenizkiy, M. and Tsymbal, A. and Puuronen, S. },
  title = {Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis},
  booktitle = {Proceedings of 18th IEEE Symposium on Computer-Based Medical Systems (CBMS '05)},
  publisher = {IEEE Computer Society},
  year = {2005},
  pages = {365--370},
  doi = {http://dx.doi.org/10.1109/CBMS.2005.71},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyCBMS05.pdf}
}
conference Pechenizkiy, M. (2005) Data Mining Strategy Selection via Empirical and Constructive Induction, In Proceedings of the IASTED International Conference Databases and Applications (DBA'05), IASTED/ACTA Press, pp. 59-64.
BibTeX:
@inproceedings{PechenizkiyDBA05,
  author = {Mykola Pechenizkiy},
  title = {Data Mining Strategy Selection via Empirical and Constructive Induction},
  booktitle = {Proceedings of the IASTED International Conference Databases and Applications (DBA'05)},
  editor = {M. H. Hamza},
  publisher = {IASTED/ACTA Press},
  year = {2005},
  pages = {59--64},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyDBA05.pdf}
}
workshop Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2005) Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field, In Proceedings of 16th International Workshop on Database and Expert Systems Applications (DEXA'05 Workshops), IEEE Computer Society, pp. 733-737.
BibTeX:
@inproceedings{PechenizkiyDEXA05a,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Alexey Tsymbal},
  title = {Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field},
  booktitle = {Proceedings of 16th International Workshop on Database and Expert Systems Applications (DEXA'05 Workshops)},
  publisher = {IEEE Computer Society},
  year = {2005},
  pages = {733--737},
  doi = {http://dx.doi.org/10.1109/DEXA.2005.64},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyDEXA05a.pdf}
}
workshop Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2005) Knowledge Management Challenges in Knowledge Discovery Systems, In Proceedings of 16th International Workshop on Database and Expert Systems Applications (DEXA'05 Workshops), IEEE Computer Society, pp. 433-437.
Abstract: Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting the most appropriate technique(s) for a problem at hand, since in the real domain area it is infeasible to perform a comparison of all applicable techniques. The main goal of this paper is to consider the limitations of data-driven approaches and propose a knowledge-driven approach to enhance the use of multiple data-mining strategies in a knowledge discovery system. We introduce the concept of (meta-) knowledge management, which is aimed to organize a systematic process of (meta-) knowledge capture and refinement over time
BibTeX:
@inproceedings{PechenizkiyDEXA05b,
  author = {Mykola Pechenizkiy and Aleksey Tsymbal and Seppo Puuronen},
  title = {Knowledge Management Challenges in Knowledge Discovery Systems},
  booktitle = {Proceedings of 16th International Workshop on Database and Expert Systems Applications (DEXA'05 Workshops)},
  publisher = {IEEE Computer Society},
  year = {2005},
  pages = {433--437},
  url = {http://dblp.uni-trier.de/db/conf/dexaw/dexaw2005.html#PechenizkiyTP05},
  doi = {http://dx.doi.org/10.1109/DEXA.2005.124},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyDEXA05b.pdf}
}
workshop Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2005) Why Data Mining Does Not Contribute to Business?, In Proceedings of Data Mining for Business Workshop (DMBiz'05) at ECML/PKDD 2005 Conference, pp. 67-71.
BibTeX:
@inproceedings{PechenizkiyDMBIZ05,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Aleksey Tsymbal},
  title = {Why Data Mining Does Not Contribute to Business?},
  booktitle = {Proceedings of Data Mining for Business Workshop (DMBiz'05) at ECML/PKDD 2005 Conference},
  editor = {C. Soares et al.},
  year = {2005},
  pages = {67--71},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyDMBIZ05.pdf}
}
conference Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2005) On the Use of Information Systems Research Methods in Data Mining, In International Conference on Information Systems Development: Advances in Theory, Practice and Education (ISD'04), Springer US, pp. 487-499.
BibTeX:
@inproceedings{PechenizkiyISD05,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Aleksey Tsymbal},
  title = {On the Use of Information Systems Research Methods in Data Mining},
  booktitle = {International Conference on Information Systems Development: Advances in Theory, Practice and Education (ISD'04)},
  editor = {Olegas Vasilecas and Wita Wojtkowski and Jože Zupančič and Albertas Caplinskas and W. Gregory Wojtkowski and Stanisław Wrycza},
  publisher = {Springer US},
  year = {2005},
  pages = {487--499},
  doi = {http://dx.doi.org/10.1007/0-387-28809-0_42},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyISD05.pdf}
}
thesis Pechenizkiy, M. (2005) Feature Extraction for Supervised Learning in Knowledge Discovery Systems. PhD Thesis, University of Jyväskylä, Finland.
BibTeX:
@techreport{PechenizkiyPHD05,
  author = {Mykola Pechenizkiy},
  title = {Feature Extraction for Supervised Learning in Knowledge Discovery Systems},
  school = {PhD Thesis, University of Jyväskylä, Finland},
  year = {2005},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyPHD05.pdf}
}
conference Pechenizkiy, M., Tsymbal, A., Puuronen, S., Shifrin, M. & Alexandrova, I. (2005) Knowledge Discovery from Microbiology Data: Many-sided Analysis of Antibiotic Resistance in Nosocomial Infections, In Post-Conference Proceedings of 3rd Conference on Professional Knowledge Management: Experiences and Visions, Lecture Notes in Computer Science 3782, Springer Berlin / Heidelberg, pp. 360-372.
BibTeX:
@inproceedings{PechenizkiyPKM05,
  author = {Mykola Pechenizkiy and Aleksey Tsymbal and Seppo Puuronen and Michail Shifrin and Irina Alexandrova},
  title = {Knowledge Discovery from Microbiology Data: Many-sided Analysis of Antibiotic Resistance in Nosocomial Infections},
  booktitle = {Post-Conference Proceedings of 3rd Conference on Professional Knowledge Management: Experiences and Visions},
  editor = {K.D. Althoff et al.},
  publisher = {Springer Berlin / Heidelberg},
  year = {2005},
  volume = {3782},
  pages = {360--372},
  doi = {http://dx.doi.org/10.1007/11590019_41},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyPKM05.pdf}
}
journal Tsymbal, A., Pechenizkiy, M. & Cunningham, P. (2005) Diversity in Search Strategies for Ensemble Feature Selection., Information Fusion, 6(1), pp. 83-98.
BibTeX:
@article{TsymbalIF05,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham},
  title = {Diversity in Search Strategies for Ensemble Feature Selection.},
  journal = {Information Fusion},
  year = {2005},
  volume = {6},
  number = {1},
  pages = {83--98},
  url = {http://dblp.uni-trier.de/db/journals/inffus/inffus6.html#TsymbalPC05},
  doi = {http://dx.doi.org/10.1016/j.inffus.2004.04.003},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalIF05.pdf}
}
conference Tsymbal, A., Pechenizkiy, M. & Cunningham, P. (2005) Sequential Genetic Search for Ensemble Feature Selection, In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI'05), Professional Book Center, pp. 877-882.
BibTeX:
@inproceedings{TsymbalIJCAI05,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham},
  title = {Sequential Genetic Search for Ensemble Feature Selection},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI'05)},
  editor = {Leslie Pack Kaelbling and Alessandro Saffiotti},
  publisher = {Professional Book Center},
  year = {2005},
  pages = {877--882},
  url = {http://www.ijcai.org/papers/1312.pdf},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalIJCAI05.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M. & Puuronen, S. (2005) Towards the Framework of Adaptive User Interfaces for eHealth, In Proceedings of 18th IEEE Symposium on Computer-Based Medical Systems (CBMS '05), IEEE Computer Society, pp. 139-144.
BibTeX:
@inproceedings{VasilyevaCBMS05,
  author = {Vasilyeva, E. and Pechenizkiy, M. and Puuronen, S.},
  title = {Towards the Framework of Adaptive User Interfaces for eHealth},
  booktitle = {Proceedings of 18th IEEE Symposium on Computer-Based Medical Systems (CBMS '05)},
  publisher = {IEEE Computer Society},
  year = {2005},
  pages = {139--144},
  doi = {http://dx.doi.org/10.1109/CBMS.2005.101},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaCBMS05.pdf}
}
workshop Vasilyeva, E., Pechenizkiy, M. & Puuronen, S. (2005) Feedback Adaptation in Web-based Applications, In Proceedings of International Workshop on Combining Intelligent and Adaptive Hypermedia Methods/Techniques in Web-Based Education Systems (CIAH'05) at ACM Hypertext 2005 Conference, pp. 85-90.
BibTeX:
@inproceedings{VasilyevaCIAH05,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and Seppo Puuronen},
  title = {Feedback Adaptation in Web-based Applications},
  booktitle = {Proceedings of International Workshop on Combining Intelligent and Adaptive Hypermedia Methods/Techniques in Web-Based Education Systems (CIAH'05) at ACM Hypertext 2005 Conference},
  year = {2005},
  pages = {85--90},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaCIAH05.pdf}
}
conference Vasilyeva, E., Pechenizkiy, M. & Puuronen, S. (2005) Knowledge Management Challenges in Web-Based Adaptive e-Learning Systems, In Proceedings of 5th International Conference on Knowledge Management (I-KNOW'05), J.UCS with Springer, pp. 112-119.
BibTeX:
@inproceedings{VasilyevaIKNOW05,
  author = {Ekaterina Vasilyeva and Mykola Pechenizkiy and Seppo Puuronen},
  title = {Knowledge Management Challenges in Web-Based Adaptive e-Learning Systems},
  booktitle = {Proceedings of 5th International Conference on Knowledge Management (I-KNOW'05)},
  publisher = {J.UCS with Springer},
  year = {2005},
  pages = {112--119},
  url = {http://i-know.tugraz.at/blog/2005/11/knowledge-management-challenges-in-web-based-adaptive-e-learning-systems},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaIKNOW05.pdf}
}
thesis Pechenizkiy, M. (2004) Feature Extraction for Classification: Issues of Intelligent Integration. Licentiate Thesis, University of Jyväskylä, Finland.
BibTeX:
@techreport{PecehnizkiyLic04,
  author = {Mykola Pechenizkiy},
  title = {Feature Extraction for Classification: Issues of Intelligent Integration},
  school = {Licentiate Thesis. University of Jyväskylä, Finland},
  year = {2004},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyLic04.pdf}
}
conference Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2004) PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics, In Proceedings of 7th IEEE International Symposium on Computer-Based Medical Systems (CBMS'04), IEEE Computer Society, pp. 535-540.
Abstract: The goal of this paper is to propose, evaluate, and compare several data mining strategies that apply feature transformation for subsequent classification, and to consider their application to medical diagnostics. We (1) briefly consider the necessity of dimensionality reduction and discuss why feature transformation may work better than feature selection for some problems; (2) analyze experimentally whether extraction of new components and replacement of original features by them is better than storing the original features as well; (3) consider how important the use of class information is in the feature extraction process; and (4) discuss some interpretability issues regarding the extracted features.
BibTeX:
@inproceedings{PechenizkiyCBMS04,
  author = {Mykola Pechenizkiy and Alexey Tsymbal and Seppo Puuronen},
  title = {PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics},
  booktitle = {Proceedings of 7th IEEE International Symposium on Computer-Based Medical Systems (CBMS'04)},
  editor = {R. Long et al.},
  publisher = {IEEE Computer Society},
  year = {2004},
  pages = {535--540},
  doi = {http://dx.doi.org/10.1109/CBMS.2004.1311770},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyCBMS04.pdf}
}
workshop Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2004) The Iterative and Interactive Data Mining Process: the Information Systems Development and Knowledge Management Perspectives, In Proceedings of Workshop on Foundations of Data Mining at 4th International IEEE ICDM'04 Conference, pp. 129-136.
BibTeX:
@inproceedings{PechenizkiyICDM04,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Alexey Tsymbal},
  title = {The Iterative and Interactive Data Mining Process: the Information Systems Development and Knowledge Management Perspectives},
  booktitle = {Proceedings of Workshop on Foundations of Data Mining at 4th International IEEE ICDM'04 Conference},
  editor = {T.Y. Lin and S. Smale and T. Poggio and C.J. Liau},
  year = {2004},
  pages = {129--136},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyICDM04.pdf}
}
conference Pechenizkiy, M., Tsymbal, A. & Puuronen, S. (2004) Meta-Knowledge Management in Multistrategy Process-Oriented Knowledge Discovery Systems, In Proceedings of 13th International Conference on Information Systems Development. Advances in Theory, Practice and Education (ISD'04), Technika, pp. 317-328.
BibTeX:
@inproceedings{PechenizkiyISD04,
  author = {Mykola Pechenizkiy and Alexey Tsymbal and Seppo Puuronen},
  title = {Meta-Knowledge Management in Multistrategy Process-Oriented Knowledge Discovery Systems},
  booktitle = {Proceedings of 13th International Conference on Information Systems Development. Advances in Theory, Practice and Education (ISD'04)},
  editor = {O. Vasilekas et al.},
  publisher = {Technika},
  year = {2004},
  pages = {317--328}
}
conference Tsymbal, A., Pechenizkiy, M. & Cunningham, P. (2004) Diversity in Random Subspacing Ensembles, In Proceedings of 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK'04), Lecture Notes in Computer Science 3181, Springer Verlag, pp. 309-319.
BibTeX:
@inproceedings{TsymbalDaWaK04,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Padraig Cunningham},
  title = {Diversity in Random Subspacing Ensembles},
  booktitle = {Proceedings of 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK'04)},
  editor = {Y. Kambayashi and M. Mohania and W. Wöß},
  publisher = {Springer Verlag},
  year = {2004},
  volume = {3181},
  pages = {309-319},
  doi = {http://www.springerlink.com/content/lqahnnly5rmb47wy},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalDaWak04.pdf}
}
journal Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2003) Feature Extraction for Classification in the Data Mining Process, International Journal on Information Theories and Applications, 10(1), pp. 271-278.
BibTeX:
@article{PechenizkiyITA03,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Alexey Tsymbal},
  title = {Feature Extraction for Classification in the Data Mining Process},
  journal = {International Journal on Information Theories and Applications},
  year = {2003},
  volume = {10},
  number = {1},
  pages = {271--278},
  url = {http://www.foibg.com/ijita/vol10/ijita-fv10.htm},
  pdf = {http://www.foibg.com/ijita/vol10/ijita10-3-p06.pdf}
}
conference Pechenizkiy, M., Puuronen, S. & Tsymbal, A. (2003) Feature Extraction for Classification in Knowledge Discovery Systems, In Proceedings of 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'03), Lecture Notes in Computer Science 2773, Springer, pp. 526-532.
BibTeX:
@inproceedings{PechenizkiyKES03,
  author = {Mykola Pechenizkiy and Seppo Puuronen and Alexey Tsymbal},
  title = {Feature Extraction for Classification in Knowledge Discovery Systems},
  booktitle = {Proceedings of 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'03)},
  editor = {Vasile Palade and Robert J. Howlett and Lakhmi C. Jain},
  publisher = {Springer},
  year = {2003},
  volume = {2773},
  pages = {526--532},
  doi = {http://www.springerlink.com/content/kf680cr4ul58tch3},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/PechenizkiyKES03.pdf}
}
conference Tsymbal, A., Pechenizkiy, M., Puuronen, S. & Patterson, D.W. (2003) Dynamic Integration of Classifiers in the Space of Principal Components, In Proceedings of Advances in Databases and Information Systems: 7th East-European Conference (ADBIS'03), Lecture Notes in Computer Science 2798, Springer-Verlag, pp. 278-292.
BibTeX:
@inproceedings{TsymbalADBIS03,
  author = {Alexey Tsymbal and Mykola Pechenizkiy and Seppo Puuronen and David W. Patterson},
  title = {Dynamic Integration of Classifiers in the Space of Principal Components},
  booktitle = {Proceedings of Advances in Databases and Information Systems: 7th East-European Conference (ADBIS'03)},
  editor = {Leonid A. Kalinichenko and Rainer Manthey and Bernhard Thalheim and Uwe Wloka},
  publisher = {Springer-Verlag},
  year = {2003},
  volume = {2798},
  pages = {278--292},
  doi = {http://www.springerlink.com/content/lyggd7ue5vyc0l2b},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalADBIS03.pdf}
}
conference Tsymbal, A., Cunningham, P., Pechenizkiy, M. & Puuronen, S. (2003) Search Strategies for Ensemble Feature Selection in Medical Diagnostics, In Proceedings of 16th IEEE Symposium Computer-Based Medical Systems (CBMS'03), IEEE Computer Society, pp. 124-129.
Abstract: The goal of this paper is to propose, evaluate, and compare four search strategies for ensemble feature selection, and to consider their application to medical diagnostics, with a focus on the problem of the classification of acute abdominal pain. Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to get higher accuracy, sensitivity, and specificity, which are often not achievable with single models. One technique, which proved to be effective for ensemble construction, is feature selection. Lately, several strategies for ensemble feature selection were proposed, including random subspacing, hill-climbing-based search, and genetic search. In this paper, we propose two new sequential-search-based strategies for ensemble feature selection, and evaluate them, constructing ensembles of simple Bayesian classifiers for the problem of acute abdominal pain classification. We compare the search strategies with regard to achieved accuracy, sensitivity, specificity, and the average number of features they select.
BibTeX:
@inproceedings{TsymbalCBMS03,
  author = {Alexey Tsymbal and Padraig Cunningham and Mykola Pechenizkiy and Seppo Puuronen},
  title = {Search Strategies for Ensemble Feature Selection in Medical Diagnostics},
  booktitle = {Proceedings of 16th IEEE Symposium Computer-Based Medical Systems (CBMS'03)},
  publisher = {IEEE Computer Society},
  year = {2003},
  pages = {124-129},
  doi = {http://dx.doi.org/10.1109/CBMS.2003.1212777},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalCBMS03.pdf}
}
conference Puuronen, S., Patterson, D., Tsymbal, A. & Pechenizkiy, M. (2002) Dimensionality Reduction for Classification Tasks Modelling, In Proceedings of 43rd Scandinavian Conference on Simulation and Modelling (SIMS'02), pp. 35-44.
BibTeX:
@inproceedings{PuuronenSIMS02,
  author = {Seppo Puuronen and Dave Patterson and Alexey Tsymbal and Mykola Pechenizkiy},
  title = {Dimensionality Reduction for Classification Tasks Modelling},
  booktitle = {Proceedings of 43rd Scandinavian Conference on Simulation and Modelling (SIMS'02)},
  year = {2002},
  pages = {35--44},
  url = {http://ntsat.oulu.fi/Tapahtumat/SIMS_CallForPapers/default.htm}
}
conference Tsymbal, A., Puuronen, S., Pechenizkiy, M., Baumgarten, M. & Patterson, D.W. (2002) Eigenvector-Based Feature Extraction for Classification, In Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS'02), AAAI Press, pp. 354-358.
BibTeX:
@inproceedings{TsymbalFLAIRS02,
  author = {Alexey Tsymbal and Seppo Puuronen and Mykola Pechenizkiy and Matthias Baumgarten and David W. Patterson},
  title = {Eigenvector-Based Feature Extraction for Classification},
  booktitle = {Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS'02)},
  editor = {Susan M. Haller and Gene Simmons},
  publisher = {AAAI Press},
  year = {2002},
  pages = {354--358},
  doi = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.109.3981\&rep=rep1\&type=pdf},
  pdf = {http://www.win.tue.nl/~mpechen/publications/pubs/TsymbalFLAIRS02.pdf}
}

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