List of Publications

List of Publications (you can find also this list of publications in chronological order here, and selected publications available online here)

Mykola Pechenizkiy

Referred journal publications:

Tsymbal A., Pechenizkiy M., Cunningham P., Puuronen S. 2006. Dynamic Integration of Classifiers for Handling Concept Drift. (to appear) Information Fusion, Special Issue “Applications of Ensemble Methods”, Elsevier Science.

Pechenizkiy M., Tsymbal A., Puuronen S. 2006. Supervised Learning and Local Dimensionality Reduction within Natural Clusters: Biomedical Data Analysis, IEEE Transactions on Information Technology in Biomedicine 10(3), Special Post-conference Issue "Mining Biomedical Data", pp. 533- 539 (as extended version of CBMS’2005).

Pechenizkiy M., Tsymbal A., Puuronen S. 2006. On Combining Principal Components with Fisher’s Linear Discriminants for Supervised Learning. Foundations of Computing and Decision Sciences, Special Issue “Data Mining and Knowledge Discovery”, pp. 59-73 (as extended version of ADMKD’05).

Pechenizkiy M., Tsymbal A., Puuronen S., Patterson D.W. 2006. Feature extraction for dynamic integration of classifiers. (accepted to) Fundamenta Informaticae, IOS Press, (as extended version of ADBIS’03)

Vasilyeva, E., Puuronen S., Pechenizkiy M., Räsänen P. 2006. Feedback adaptation in web-based learning systems. (to appear) International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), (as extended version of CIAH’05).

Tsymbal A., Pechenizkiy M., Cunningham P. 2005. Diversity in Search Strategies for Ensemble Feature Selection. Information Fusion 6(1), Special Issue "Diversity in Multiple Classifier Systems", Elsevier Science, pp. 83-98.

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), Sofia, FOI-Commerce, pp. 271-278. (as revised version of KDS’2003)

Referred book chapters:

Pechenizkiy M., Puuronen S., Tsymbal A. 2006. Does the relevance of data mining research matter? (to appear) Foundations of Data Mining, Springer.

Referred conference publications:

Tsymbal A., Pechenizkiy M., Cunningham P. 2006. Dynamic Integration with Random Forest. In: Fürnkranz et al (Eds.) Proc. of 17th European Conf. on Machine Learning (ECML/PKDD'06), LNAI 4212, Heidelberg, Springer Verlag, pp. 801-808.

Pechenizkiy, Tsymbal A., Puuronen S., Pechenizkiy O. 2006. Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. In: Proc. of 19th IEEE Int. Symposium on Computer-Based Medical Systems CBMS’06, IEEE CS Press, pp. 708-713.

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: Proc. of 19th IEEE Int. Symposium on Computer-Based Medical Systems CBMS’06, IEEE CS Press, pp. 679-684.

Pechenizkiy M., Puuronen S., Tsymbal A. 2006. The Impact of Sample Reduction on PCA-based Feature Extraction for Supervised Learning. In: Proc. the 21st ACM Symposium on Applied Computing (ACM SAC’05 Data Mining Track), ACM Press, pp. 553-558.

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: K.D. Althoff et al. (Eds) Post-Conference Proc. of 3rd Conf. on Professional Knowledge Management: Experiences and Visions, LNAI 3782, Springer Verlag, pp. 360-372. [Extended version of KMM05 workshop paper]

Tsymbal A., Pechenizkiy M., Cunningham P. 2005. Sequential Genetic Search for Ensemble Feature Selection. In: Proc. 19^th International Joint Conference on Artificial Intelligence, IJCAI’05, pp. 877-882.

Pechenizkiy M., Tsymbal A., Puuronen S. 2005. Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. In: P.Cunningham, A.Tsymbal (Eds.), Proc. 18th IEEE Int. Symp. on Computer-Based Medical Systems CBMS’05, IEEE CS Press, pp. 365-370.

Vasilyeva E., Pechenizkiy M., Puuronen S. 2005. Towards the Framework of Adaptive User Interfaces for eHealth. In: P.Cunningham, A.Tsymbal (Eds.), Proc. 18th IEEE Int. Symp. on Computer-Based Medical Systems CBMS’05, IEEE CS Press, pp. 139-144.

Pechenizkiy M. 2005. Impact of the Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5. In: B.Kegl, G.Lapalme (Eds.): Proc. of 18th CSCSI Conference on Artificial Intelligence AI’05, LNAI 3501, Springer Verlag, pp. 268-279.

Vasilyeva E., Pechenizkiy M., Puuronen S. 2005. Knowledge Management Challenges in Web-Based Adaptive e-Learning Systems. In: Proc of 5th International Conference on Knowledge Management I-KNOW '05, J.UCS with Springer, pp. 112-119.

Pechenizkiy M. 2005 Data mining strategy selection via empirical and constructive induction. In: M.H. Hamza (Ed.) Proc. of the IASTED International Conference on Databases and Applications DBA’05, ACTA Press, pp. 59-64.

Pechenizkiy M., Puuronen S., Tsymbal A. 2005. On the Use of Information Systems Research Methods in Data Mining. In: O.Vasilecas et al. (Eds.) Proc. of 13th International Conference on Information Systems Development: Advances in Theory, Practice and Education ISD’04, Springer, pp. 487-499.

Pechenizkiy M., Tsymbal A., Puuronen S. 2004. Meta-Knowledge Management in Multistrategy Process-Oriented Knowledge Discovery Systems. In: O.Vasilekas, et al. (Eds.) Proc. of 13th International Conference on Information Systems Development. Advances in Theory, Practice and Education ISD’04 Vilsius: Technika, pp. 317-328.

Tsymbal A., Pechenizkiy M. and Cunningham P. 2004. Diversity in random subspacing ensembles. In: Y. Kambayashi, M. Mohania, W. Wöß (Eds.) Proc. of 6th Int. Conf. on Data Warehousing and Knowledge Discovery DaWaK'04, LNCS, Vol.3181, Heidelberg, Springer Verlag, pp. 309-319.

Pechenizkiy M., Tsymbal A., Puuronen S. 2004. PCA-based feature transformation for classification: issues in medical diagnostics. In: R. Long et al. (Eds.), Proc. 17th IEEE Int. Symp. on Computer-Based Medical Systems CBMS’04, Bethesda, MD, IEEE CS Press, pp. 535-540.

Pechenizkiy M., Puuronen S., Tsymbal A. 2003. Feature extraction for classification in knowledge discovery systems. In: V.Palade, R.J.Howlett, L.C.Jain (Eds.), Proc. 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES’2003, Lecture Notes in Artificial Intelligence, Vol.2773, Heidelberg: Springer-Verlag, pp. 526-532.

Pechenizkiy M., Puuronen S., Tsymbal A. 2003. Feature Extraction for Classification in the Data Mining Process: In: Gladun V.P., Markov K. (Eds.) Proc. X-th International Conference Knowledge-Dialogue-Solution, KDS’2003, Varna, Bulgaria, FOI–COMMERCE, pp. 321-329

Tsymbal A., Cunningham P., Pechenizkiy M., Puuronen S. 2003. Search strategies for ensemble feature selection in medical diagnostics. In: M. Krol, S. Mitra, D.J. Lee (Eds.), Proc. 16th IEEE Int. Symp. on Computer-Based Medical Systems CBMS’03, The Mount Sinai School of Medicine, New York, NY, IEEE CS Press, pp. 124-129.

Tsymbal A., Pechenizkiy M., Puuronen S., Patterson D.W. 2003. Dynamic integration of classifiers in the space of principal components. In: L.Kalinichenko, R.Manthey, B.Thalheim, U.Wloka (Eds.), Proc. Advances in Databases and Information Systems: 7th East-European Conf. ADBIS'03, Lecture Notes in Computer Science, Vol. 2798, Springer-Verlag, pp. 278-292.

Puuronen S., Patterson D., Tsymbal A., Pechenizkiy M. 2002. Dimensionality Reduction for Classification Tasks Modelling. In Proc. 43rd Scandinavian Conf. on Simulation and Modelling, SIMS’02, Oulu, Finland , Finnish Society of Automation, pp. 35-44.

Tsymbal A., Puuronen S., Pechenizkiy M., Baumgarten M., Patterson D. 2002. Eigenvector-based Feature Extraction for Classification. In: S.M. Haller, G. Simmons (Eds.), Proc. 15th Int. FLAIRS Conference on Artificial Intelligence, AAAI Press, pp. 354-358.

Referred workshop publications:

Pechenizkiy M., Tourunen A., Kärkkäinen T., Ivannikov A., Nevalainen H. 2006. Towards Better Understanding of Circulating Fluidized Bed Boilers: a Data Mining Approach. In: Proc. of 2^nd Workshop on Practical Data Mining: Applications, Experiences and Challenges DMBiz’06 (ECML/PKDD’06), Berlin, Germany , pp. 80-83.

Puuronen S., Pechenizkiy M., Tsymbal A. 2006. Data Mining Researcher, Who is Your Customer? Some Issues Inspired by Information Systems Field. In: IEEE Workshop Proc. of DEXA’06, 2^nd Int. Workshop on Philosophies and Methodologies for Knowledge Discovery PMKD’06, IEEE CS Press, pp. 579-583 (Keynote paper).

Vasilyeva, E., Pechenizkiy M., Puuronen S. 2006. The Challenge of Feedback Personalization to Learning Styles in WBLS. In: Proc. of Workshop on Adaptive Web-Based Education and Learning Styles and short version in IEEE ICALT'06, pp. 1143-1144.

Pechenizkiy M., Tsymbal A., Puuronen S. 2005. On Combining Principal Components with Parametric LDA-based Feature Extraction for Supervised Learning. In: T.Morzy et al. (Eds.), Proc. of 1^st Int. Workshop on Data Mining and Knowledge Discovery, ADMKD’05, Tallinn, Estonia, pp. 47-56.

Pechenizkiy M., Puuronen S., Tsymbal A. 2005. Why Data Mining Does Not Contribute to Business? In: C.Soares et al. (Eds.), Proc. of Data Mining for Business Workshop, DMBiz’05 (ECML/PKDD’05), Porto, Portugal , pp. 67-71.

Pechenizkiy M., Tsymbal A., Puuronen S. 2005. Knowledge Management Challenges in Knowledge Discovery Systems. In: IEEE Workshop Proc. of DEXA’05, 6^th Int. Workshop on Theory and Applications of Knowledge Management TAKMA’05, IEEE CS Press, pp. 433-437.

Pechenizkiy M., Puuronen S., Tsymbal A. 2005. Competitive advantage from Data Mining: Lessons learnt in the Information Systems field. In: IEEE Workshop Proc. of DEXA’05, 1^st Int. Workshop on Philosophies and Methodologies for Knowledge Discovery PMKD’05, IEEE CS Press, pp. 733-737 (Invited paper).

Tsymbal A., Pechenizkiy M., Puuronen S., Shifrin M., Alexandrova I. 2005. Knowledge discovery in microbiology data: analysis of antibiotic resistance in nosocomial infections. In: Int. Workshop on Current Aspects of Knowledge Management in Medicine, KMM05. In conjunction with the 3rd Conf. on Professional Knowledge Management: Experiences and Visions, DFKI, Kaiserslautern, Germany , pp. 334-340.

Vasilyeva E., Puuronen S., Pechenizkiy M. 2005. Feedback Adaptation in Web-based Applications. (to appear) In: Proc. Int. Workshop on Combining Intelligent and Adaptive Hypermedia Methods/Techniques in Web-based Education Systems, Salzburg, Austria .

Pechenizkiy M., Puuronen S., Tsymbal A. 2004. The iterative and interactive data mining process: the information systems development and knowledge management perspectives. In 4th Int. IEEE ICDM’04, T.Y. Lin, S. Smale, T. Poggio, C.J. Liau (Eds.) Workshop Proc. Foundations of Data Mining FDM’04, pp. 129-136.

Degree Thesis:

Pechenizkiy M. 2005. Feature Extraction for Supervised Learning in Knowledge Discovery Systems. PhD thesis, Jyväskylä University Printing House, Jyväskylä, Finland ..

Pechenizkiy M. 2004. Feature Extraction for Classification: Issues of Intelligent Integration. Licentiate Thesis, Jyväskylä University Printing House, Jyväskylä, Finland .

Pechenizkiy M. 2001. PCA-based Feature Extraction for Classification. M.Sc. Thesis. University of Jyväskylä, Finland .

Pechenizkiy M. 2001. Computerised Adaptive Testing System. M.Sc. Thesis. Kharkov National Technical University of Radioelectronics, Ukraine . (in Russian)

Non-refereed publications (accomplished during undergraduate and graduate studies):

Pechenizkiy M., Maslov O. 2002. Computerized Adaptive Testing System. In: Proc. Int. Conference on the Education and Virtuality, Yalta, Ukraine . (in Russian)

Pechenizkiy M. 2001. Computerized Adaptive Psychological Testing: A Personalisation Perspective. In Proc. of the 1st Int. Conference on Psychology and the Internet: A European perspective, Farnborough, UK .

Räsänen P., Pechenizkiy M. 2001. ARITES & NEURE – tools for experiment generation, research and assessment via internet connection. Program demonstrations at 1st Int. Conf. on Psychology and the internet: A European perspective, Farnborough, UK .

Grebenyuk V., Pechenizkiy M. 2000. The Logical Model of the Chess Problems Solving. The 4rth Int. Forum “Radioelectronics in the XXI-st century” Transactions of Kharkov State Technical University of Radioelectronics, pp. 225-226. (in Russian)

Grebenyuk V., Pechenizkiy M. 1999. The Technology of the Intelligent Agents in the Computer Chess. The 3rd Int. Forum “Radioelectronics in the XXI-st century” Transactions of Kharkov State Technical University of Radioelectronics, pp. 199-202. (in Russian)

Grebenyuk V., Pechenizkiy M. 1999. Using Agent’s Technologies for Solving the Tasks of the Game Theory. Transactions of Kharkov State Polytechnic University. (in Russian)

Last update: October 17, 2006