Publications

2018

Article

Scientific peer reviewed

  • Mendling, J., Weber, I., van der Aalst, W.M.P., vom Brocke, J., Cabanillas, C., Daniel, F., Debois, S., Di Ciccio, C., Dumas, M., Dustdar, S., Gal, A., García-Bañuelos, L., Governatori, G., Hull, R., La Rosa, Marcello, Leopold, Henrik, Leymann, Frank, Recker, Jan, Reichert, Manfred, Reijers, H.A., Rinderlema, Stefanie, Solti, Andreas, Rosemann, Michael, Schulte, Stefan, Singh, Munindar P., Slaats, T., Staples, Mark, Weber, Barbara, Weidlich, Matthias, Weske, Mathias, Xu, Xiwei & Zhu, Liming (2018). Blockchains for business process management - Challenges and opportunities. ACM Transactions on Management Information Systems, 9(1):4

Editorial

Scientific peer reviewed

  • van der Aalst, Wil M.P., Ignatov, Dmitry I., Khachay, Michael, Kuznetsov, Sergei O., Lempitsky, Victor, Lomazova, Irina A., Loukachevitch, Natalia, Napoli, Amedeo, Panchenko, Alexander, Pardalos, Panos M., Savchenko, Andrey V. & Wasserman, Stanley (2018). Preface. Lecture Notes in Computer Science, 10716, V-VII.

Conference contribution

Scientific peer reviewed

  • Burattin, Andrea, Soffer, Pnina, Fahland, Dirk, Mendling, Jan, Reijers, Hajo A., Vanderfeesten, Irene, Weidlich, Matthias & Weber, Barbara (2018). Who is behind the model? classifying modelers based on pragmatic model features. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management - 16th International Conference, BPM 2018, Proceedings (pp. 322-338). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11080 LNCS). Springer.
  • Cuzzocrea, Alfredo, Mumolo, Enzo, Hassani, Marwan & Grasso, Giorgio Mario (2018). Towards effective generation of synthetic memory references via markovian models. In Ling Liu, Claudio Demartini, Ji-Jiang Yang, Thomas Conte, Kamrul Hasan, Edmundo Tovar, Zhiyong Zhang, Sheikh Iqbal Ahamed, Stelvio Cimato, Toyokazu Akiyama, Sorel Reisman, William Claycomb, Motonori Nakamura, Hiroki Takakura & Chung-Horng Lung (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (pp. 199-203). Piscataway: IEEE Computer Society.
  • de Leoni, Massimiliano, Felli, Paolo & Montali, Marco (2018). A holistic approach for soundness verification of decision-aware process models. In Xiaoyong Du, Guoliang Li, Zhanhuai Li, Juan C. Trujillo, Tok Wang Ling, Karen C. Davis & Mong Li Lee (Eds.), Conceptual Modeling - 37th International Conference, ER 2018, Proceedings (pp. 219-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11157 LNCS). Springer.
  • Hompes, Bart F.A. & van der Aalst, Wil M.P. (2018). Lifecycle-Based Process Performance Analysis. In Dumitru Roman, Henderik A. Proper, Robert Meersman, Hervé Panetto, Christophe Debruyne & Claudio Agostino Ardagna (Eds.), On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences (pp. 336-353). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11229 LNCS). Springer.
  • Leemans, Sander J.J., Tax, Niek & ter Hofstede, Arthur H.M. (2018). Indulpet miner : combining discovery algorithms. In Dumitru Roman, Henderik A. Proper, Robert Meersman, Hervé Panetto, Christophe Debruyne & Claudio Agostino Ardagna (Eds.), On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences (pp. 97-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11229 LNCS). Springer.
  • Syamsiyah, Alifah, van Dongen, Boudewijn F. & Dijkman, Remco M. (2018). A native operator for process discovery. In Hui Ma, Günther Pernul, Abdelkader Hameurlain, Sven Hartmann & Roland R. Wagner (Eds.), Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Proceedings (pp. 292-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11030 LNCS). Springer.

Phd Thesis 1 (Research TU/e / Graduation TU/e)

Scientific

  • Kalenkova, A.A. (2018). Learning high-level process models from event data. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst & Irina Lomazova).
  • Leemans, M. (2018). Hierarchical process mining for scalable software analysis. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst & Mark van den Brand).
  • Lu, X. (2018). Using behavioral context in process mining : exploration, preprocessing and analysis of event data. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst, Dirk Fahland & Nicola Zannone)

2017

Article

Scientific peer reviewed

Scientific not peer reviewed

Editorial

Scientific peer reviewed

Review article

Scientific peer reviewed

Chapter

Scientific peer reviewed

  • Hiemstra, D., Tax, N. & Bockting, S. (2017). Ranking learning-to-rank methods. In N. Ferro, C. Lucchese, M. Maistro & R. Perego (Eds.), Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers (pp. 3-3). (CEUR Workshop Proceedings, No. 2007). Aachen.
  • Verbeek, H.M.W. (2017). Decomposed replay using hiding and reduction as abstraction. In J. Kleijn, W. Penchek & M. Koutny (Eds.), Transactions on Petri Nets and Other Models of Concurrency XII (pp. 166-186). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10470 LNCS). Dordrecht: Springer Netherlands.

Conference contribution

Scientific peer reviewed

  • Chatain, T., Carmona, J. & van Dongen, B.F. (2017). Alignment-based trace clustering. In H. Ma, G. Guizzardi, O. Pastor & H.C. Mayr (Eds.), Conceptual Modeling - 36th International Conference, ER 2017, Proceedings (pp. 295-308). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10650 LNCS). BHRA / Springer Verlag.
  • Labba, C., Assy, N., Saoud, N.B.B. & Gaaloul, W. (2017). Adaptive deployment of service-based processes into cloud federations. In Q. Li, Y. Gao, W. Jia, L. Chen, F. Dzerzhinskiy, , A. Klimenko, S.V. Klimenko, A. Bouguettaya & X. Zhang (Eds.), Web Information Systems Engineering – WISE 2017 (pp. 275-289). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10569 LNCS). Dordrecht: Springer Netherlands.
  • Leemans, M. & van der Aalst, W.M.P. (2017). Modeling and discovering cancelation behavior. In W. Galoul, H. Panetto, C. Agostino Ardagna, C. Debruyne, M. Papazoglou & A. Paschke (Eds.), On the Move to Meaningful Internet Systems. OTM 2017 Conferences (pp. 93-113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10573 LNCS). Dordrecht: Springer Netherlands.
  • Tax, N., Verenich, I., La Rosa, M. & Dumas, M. (2017). Predictive business process monitoring with LSTMs. In E. Postma, G. Fletcher, V. Menkovski, P. van der Putten, W. Duivesteijn, M. Pechenizkiy & J. Vanschoren (Eds.), Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning (BENELEARN) (pp. 170-172).

Paper

Scientific

Other research output

Report

Scientific

Phd Thesis 1 (Research TU/e / Graduation TU/e)

Scientific

Abstract

Other research output

2016

Article

Scientific peer reviewed

Editorial

Scientific peer reviewed

Chapter

Scientific peer reviewed

Professional

Conference contribution

Scientific peer reviewed

  • van der Aa, H., Del-Río-Ortega, A., Resinas, M., Leopold, H., Ruiz-Cortés, A., Mendling, J. & Reijers, H.A. (2016). Narrowing the business-IT gap in process performance measurement. In J. Eder, P. Soffer, S. Nurcan & M. Bajec (Eds.), Advanced Information Systems Engineering (pp. 543-557). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 9694). Dordrecht: Springer. Scopus.
  • van der Aalst, W.M.P. (2016). Green data science. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, ICEIS 2016, 25-28 April 2016, Rome, Italy (pp. 9-21). s.l.: SciTePress. Scopus.
  • Fahland, D., Lu, X., Nagelkerke, M.Q.L. & van de Wiel, D. (2016). Discovering Interacting Artifacts from ERP Systems (Extended Abstract). In S. Rinderle-Ma & J. Mendling (Eds.), Enterprise Modeling and Information Systems Architectures : Proceedings of the 7th International Workshop on Enterprise Modeling and Information Systems Architectures, EMISA 2016: Fachgruppentreffen der GI-Fachgruppe Entwicklungsmethoden für Informationssysteme und deren Anwendung, Vienna, Austria, October 3-4, 2016 (pp. 5-8). (CEUR Workshop Proceedings, No. 1701). Aachen: RWTH Aachen. Scopus.
  • Fahland, D., Meyer, A., Pufahl, L., Batoulis, K. & Weske, M.H. (2016). Automating Data Exchange in Process Choreographies (Extended Abstract). In S. Rinderle-Ma & J. Mendling (Eds.), Enterprise Modeling and Information Systems Architectures : Proceedings of the 7th International Workshop on Enterprise Modeling and Information Systems Architectures, EMISA 2016: Fachgruppentreffen der GI-Fachgruppe Entwicklungsmethoden für Informationssysteme und deren Anwendung, Vienna, Austria, October 3-4, 2016 (pp. 13-16). (CEUR Workshop Proceedings, No. 1701). Aachen: RWTH Aachen. Scopus.

Abstract

Other research output

Report

Scientific

Phd Thesis 1 (Research TU/e / Graduation TU/e)

Scientific

Other contribution

Other research output

2015

Article

Scientific peer reviewed

Scientific not peer reviewed

Chapter

Scientific peer reviewed

Scientific not peer reviewed

Conference Contribution

Scientific peer reviewed

Book

Scientific

Report

Scientific

Earlier years

Miscellaneous