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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