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)