Publications

• van der Aa, H., Leopold, H. & Reijers, H.A. (2018). Checking process compliance against natural language specifications using behavioral spaces. Information Systems, 78, 83-95.

• van der Aalst, Wil (2018). Spreadsheets for business process management : Using process mining to deal with “events” rather than “numbers”?. Business Process Management Journal, 24(1), 105-127.

• Alizadeh, M., Lu, X., Fahland, D., Zannone, N. & van der Aalst, W.M.P. (2018). Linking data and process perspectives for conformance analysis. Computers and Security, 73, 172-193.

• Beemt, A.A.J. van den, Buijs, J.C.A.M. & Aalst, W.M.P. van der (2018). Analysing structured learning behaviour in Massive Open Online Courses (MOOCs) : An approach based on process mining and clustering. International Review of Research in Open and Distance Learning, 19(5), 38-60.

• Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2018). Process variant comparison: using event logs to detect differences in behavior and business rules. Information Systems, 74(1), 53-66.

• Fahland, Dirk & Völzer, Hagen (2018). Dynamic skipping and blocking, dead path elimination for cyclic workflows, and a local semantics for inclusive gateways. Information Systems.

• González López de Murillas, Eduardo, Reijers, Hajo A. & van der Aalst, Wil M.P. (2018). Connecting databases with process mining : a meta model and toolset. Software and Systems Modeling, 1-39.

• Jalali, A., Maggi, F.M. & Reijers, H.A. (2018). A hybrid approach for aspect-oriented business process modeling. Journal of Software : Evolution and Process, 30(8):e1931

• Kalenkova, Anna, Burattin, Andrea, de Leoni, Massimiliano, van der Aalst, Wil & Sperduti, Alessandro (2018). Discovering high-level BPMN process models from event data. Business Process Management Journal

• Lee, Wai Lam Jonathan, Verbeek, H.M.W., Munoz-Gama, Jorge, van der Aalst, Wil M.P. & Sepúlveda, Marcos (2018). Recomposing conformance : Closing the circle on decomposed alignment-based conformance checking in process mining. Information Sciences, 466, 55-91.

• Leemans, S.J.J., Fahland, D. & van der Aalst, W.M.P. (2018). Scalable process discovery and conformance checking. Software and Systems Modeling, 17(2), 599-631.

• Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P. & Toussaint, P. (2018). Guided Process Discovery : A Pattern-based Approach. Information Systems, 76, 1-18

• 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

• Polato, Mirko, Sperduti, Alessandro, Burattin, Andrea & de Leoni, Massimiliano (2018). Time and activity sequence prediction of business process instances. Computing, 100(9), 1005–1031

• Rekik, Molka, Boukadi, Khouloud, Assy, Nour, Gaaloul, Walid & Ben-Abdallah, Hanene (2018). Optimal deployment of configurable business processes in cloud federations. IEEE Transactions on Network and Service Management

• Tax, N., Sidorova, N. & van der Aalst, W.M.P. (2018). Discovering more precise process models from event logs by filtering out chaotic activities. Journal of Intelligent Information Systems

• Tax, N., Lu, X., Sidorova, N., Fahland, D. & van der Aalst, W.M.P. (2018). The imprecisions of precision measures in process mining. Information Processing Letters, 135, 1-9.

• Tax, Niek, Dalmas, Benjamin, Sidorova, Natalia, van der Aalst, Wil M.P. & Norre, Sylvie (2018). Interest-driven discovery of local process models. Information Systems, 77, 105-117.

• van Zelst, S.J., van Dongen, B.F., van der Aalst, W.M.P. & Verbeek, H.M.W. (2018). Discovering workflow nets using integer linear programming. Computing, 100(5), 529-556.

• van Zelst, S.J., van Dongen, B.F. & van der Aalst, W.M.P. (2018). Event stream-based process discovery using abstract representations. Knowledge and Information Systems, 54(2), 407-435.

• 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.

• Dongen, Boudewijn van, De Weerdt, Jochen, Burattin, Andrea & Claes, Jan (2018). Introduction to the 13th international workshop on business process intelligence (BPI 2017). Lecture Notes in Business Information Processing, 308, 161-164.

• Fahland, Dirk, Köhler-Bußmeier, Michael & Moldt, Daniel (2018). Workshop on Petri Nets and Modeling 2018 (PeMod'2018). CEUR Workshop Proceedings, 2060

• Heinzl, Armin, van der Aalst, Wil & Bichler, Martin (2018). Why the community should care about technology-centric journal rankings. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 60(2), 91-93.

• Yong, Jianming, Fortino, Giancarlo, Shen, Weiming, Yang, Yun, Chao, Kuo Ming & Van Der Aalst, Wil (2018). Special Issue on Service-Oriented Collaborative Computing and Applications. IEEE Transactions on Services Computing, 11(2), 277-278.

• Assy, Nour, van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). Similarity resonance for improving process model matching accuracy. Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018 (pp. 86-93). New York: Association for Computing Machinery, Inc.

• Bloemen, Vincent, van Zelst, Sebastiaan J., van der Aalst, Wil M.P., van Dongen, Boudewijn F. & van de Pol, Jaco (2018). Maximizing synchronization for aligning observed and modelled behaviour. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management - 16th International Conference, BPM 2018, Proceedings (pp. 233-249). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11080 LNCS). Springer.

• 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.

• Burattin, Andrea, van Zelst, Sebastiaan J., Armas-Cervantes, Abel, van Dongen, Boudewijn F. & Carmona, Josep (2018). Online conformance checking using behavioural patterns. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management - 16th International Conference, BPM 2018, Proceedings (pp. 250-267). (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). A Markov-Model-based framework for supporting real-time generation of synthetic memory references effectively and efficiently. Proceedings - DMSVIVA 2018 (pp. 83-90). Pittsburgh: Knowledge Systems Institute Graduate School.

• 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.

• de Leoni, Massimiliano, Lanciano, Giacomo & Marrella, Andrea (2018). Aligning partially-ordered process-execution traces and models using automated planning. 28th International Conference on Automated Planning and Scheduling, ICAPS 2018 (pp. 321-329). (Proceedings International Conference on Automated Planning and Scheduling, ICAPS).

• Denisov, Vadim, Belkina, Elena, Fahland, Dirk & van der Aalst, Wil M.P. (2018). The performance spectrum miner : visual analytics for fine-grained performance analysis of processes. CEUR Workshop Proceedings, 2196, 96-100.

• Denisov, Vadim, Fahland, Dirk & van der Aalst, Wil M.P. (2018). Unbiased, fine-grained description of processes performance from event data. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management - 16th International Conference, BPM 2018, Proceedings (pp. 139-157). (Lecture Notes in Computer Science, No. 11080). Springer.

• Dixit, P. M., Buijs, J. C.A.M. & van der Aalst, W. M.P. (2018). Interactive data-driven process model construction. 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. 251-265). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11157 LNCS). Springer.

• Dixit, Prabhakar M., Verbeek, H.M.W. & van der Aalst, Wil M.P. (2018). Incremental computation of synthesis rules for free-choice Petri nets. In Peter Csaba Ölveczky & Kyungmin Bae (Eds.), Formal Aspects of Component Software - 15th International Conference, FACS 2018, Proceedings (pp. 97-117). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11222 LNCS). Springer.

• Dixit, P.M., Buijs, J.C.A.M., Verbeek, H.M.W. & van der Aalst, W.M.P. (2018). Fast incremental conformance analysis for interactive process discovery. In W. Abramowicz & A. Paschke (Eds.), Business Information Systems - 21st International Conference, BIS 2018, Proceedings (pp. 163-175). (Lecture Notes in Business Information Processing, No. 320). Springer.

• Dixit, P.M., Buijs, J.C.A.M. & van der Aalst, W.M.P. (2018). ProDiGy : Human-in-the-loop process discovery. 2018 12th International Conference on Research Challenges in Information Science, RCIS 2018 (pp. 1-12). Piscataway: IEEE Computer Society.

• Dixit, P.M. & van der Aalst, W.M.P. (2018). Fast conformance analysis based on activity log abstraction. 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, Proceedings (pp. 135-144). Piscataway.

• Dixit, Prabhakar M., Suriadi, Suriadi, Andrews, Robert, Wynn, Moe T., ter Hofstede, Arthur H.M., Buijs, Joos C.A.M. & van der Aalst, Wil M.P. (2018). Detection and interactive repair of event ordering imperfection in process logs. Advanced Information Systems Engineering - 30th International Conference, CAiSE 2018, Proceedings (pp. 274-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10816 LNCS). Springer.

• Dongen, Boudewijn F. van (2018). Efficiently computing alignments : using the extended marking equation. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management - 16th International Conference, BPM 2018, Proceedings (pp. 197-214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 11080 LNCS). Springer.

• Fani Sani, Mohammadreza, van Zelst, Sebastiaan J. & van der Aalst, Wil M.P. (2018). Repairing outlier behaviour in event logs. In W. Abramowicz & A. Paschke (Eds.), Business Information Systems - 21st International Conference, BIS 2018, Proceedings (pp. 115-131). (Lecture Notes in Business Information Processing, No. 320). Springer.

• Fani Sani, Mohammadreza, van Zelst, Sebastiaan J. & van der Aalst, Wil M.P. (2018). Improving process discovery results by filtering outliers using conditional behavioural probabilities. Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers (pp. 216-229). (Lecture Notes in Business Information Processing, No. 308). Berlin: Springer.

• Garcia Caballero, Humberto S., Westenberg, Michel A., Verbeek, H.M.W. & van der Aalst, Wil M.P. (2018). Visual analytics for soundness verification of process models. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops (pp. 744-756). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands.

• González López de Murillas, E., Hoogendoorn, G.E. & Reijers, H.A. (2018). Redo log process mining in real life : data challenges & opportunities. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops (pp. 573-587). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands.

• Hassani, Marwan (2018). Analyzing customer journey with process mining : from discovery to recommendations. In Muhammad Younas & Jules Pagna Disso (Eds.), Proceedings - 2018 IEEE 6th International Conference on Future Internet of Things and Cloud, FiCloud 2018 (pp. 224-229). Piscataway: Institute of Electrical and Electronics Engineers (IEEE).

• 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.

• Kalenkova, A. A., Ageev, A. A., Lomazova, I A. & van der Aalst, W. M.P. (2018). E-government services : comparing real and expected user behavior. In M. Weidlich & E. Teriente (Eds.), Business Process Management Workshops (pp. 484-496). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands.

• Koorneef, M., Solti, A., Leopold, H. & Reijers, H.A. (2018). Automatic root cause identification using most probable alignments. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops - BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers (pp. 204-215). (Lecture Notes in Business Information Processing, No. 308). Cham: Springer.

• Leemans, Maikel, van der Aalst, Wil M.P. & van den Brand, Mark G.J. (2018). The Statechart Workbench : Enabling scalable software event log analysis using process mining. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings (pp. 502-506). Institute of Electrical and Electronics Engineers (IEEE).

• Leemans, Maikel, van der Aalst, Wil M.P., van den Brand, Mark G.J., Schiffelers, Ramon R.H. & Lensink, Leonard (2018). Software process analysis methodology-a methodology based on lessons learned in embracing legacy software. Proceedings - 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018 (pp. 665-674). Piscataway: Institute of Electrical and Electronics Engineers (IEEE).

• Leemans, Maikel, van der Aalst, Wil M.P. & van den Brand, Mark G.J. (2018). Recursion aware modeling and discovery for hierarchical software event log analysis. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings (pp. 185-196). Piscataway: Institute of Electrical and Electronics Engineers (IEEE).

• Leemans, Maikel, Van Der Aalst, Wil M.P. & Van Den Brand, Mark G.J. (2018). Hierarchical performance analysis for process mining. Proceedings of the 2018 International Conference on Software and System Process, ICSSP 2018 (pp. 96-105). Association for Computing Machinery, Inc.

• 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.

• Li, Guangming, Medeiros De Carvalho, Renata & van der Aalst, Wil M.P. (2018). Configurable event correlation for process discovery from object-centric event data. Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services (pp. 203-210). Institute of Electrical and Electronics Engineers (IEEE).

• Li, Guangming, de Murillas, Eduardo González López, de Carvalho, Renata Medeiros & van der Aalst, Wil M.P. (2018). Extracting object-centric event logs to support process mining on databases. In H. Mouratidis & J. Mendling (Eds.), Information Systems in the Big Data Era - CAiSE Forum 2018, Proceedings (pp. 182-199). (Lecture Notes in Business Information Processing, No. 317). Springer.

• Liu, Cong, van Dongen, Boudewijn, Assy, Nour & van der Aalst, Wil M.P. (2018). A framework to support behavioral design pattern detection from software execution data. ENASE 2018 - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering (pp. 65-76). SCITEPRESS-Science and Technology Publications, Lda.

• Liu, Cong, van Dongen, Boudewijn, Assy, Nour & van der Aalst, Wil M.P. (2018). Component interface identification and behavioral model discovery from software execution data. Proceedings - 2018 ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018 (pp. 97-107). New York: Association for Computing Machinery, Inc.

• Liu, Cong, Van Dongen, Boudewijn, Assy, Nour & Van Der Aalst, Wil M.P. (2018). A general framework to detect behavioral design patterns. Proceedings - International Conference on Software Engineering (pp. 234-235). IEEE Computer Society.

• Meulemans, W., Sonke, W.M., Speckmann, B., Verbeek, H.M.W. & Verbeek, K.A.B. (2018). Optimal algorithms for compact linear layouts. Abstracts of the 34th European Workshop on Computational Geometry (EuroCG), 21-23 March 2018, Berlin, Germany (pp. 10:1-10:6).

• Polderdijk, Melanie, Vanderfeesten, Irene, Erasmus, Jonnro, Traganos, Kostas, Bosch, Tim, van Rhijn, Gu & Fahland, Dirk (2018). A visualization of human physical risks in manufacturing processes using BPMN. Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers (pp. 732-743). (Lecture Notes in Business Information Processing, No. 308). Springer.

• Sonke, Willem, Verbeek, Kevin, Meulemans, Wouter, Verbeek, Eric & Speckmann, Bettina (2018). Optimal algorithms for compact linear layouts. Proceedings - 2018 IEEE Pacific Visualization Symposium, PacificVis 2018 (pp. 1-10). Brussels: IEEE Computer Society.

• Syamsiyah, Alifah, van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). Recurrent process mining with live event data. Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers (pp. 178-190). (Lecture Notes in Business Information Processing, No. 308). BHRA / Springer Verlag.

• 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.

• Syamsiyah, Alifah, Van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). DB-XES : Enabling process discovery in the large. Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers (pp. 53-77). (Lecture Notes in Business Information Processing, No. 307). BHRA / Springer Verlag.

• Tax, N., van Zelst, S.J. & Teinemaa, I. (2018). An experimental evaluation of the generalizing capabilities of process discovery techniques and black-box sequence models. In Palash Bera, Jens Gulden, Iris Reinhartz-Berger, Wided Guédria, Sérgio Guerreiro & Rainer Schmidt (Eds.), Enterprise, Business-Process and Information Systems Modeling (pp. 165-180). (Lecture Notes in Business Information Processing). Dordrecht: Springer Netherlands.

• Tax, Niek, Sidorova, Natalia, van der Aalst, Wil M.P. & Haakma, Reinder (2018). Local process model discovery : bringing petri nets to the pattern mining world. In V. Khohamenko & O.H. Roux (Eds.), Application and Theory of Petri Nets and Concurrency (pp. 374-384). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10877 LNCS). Dordrecht: Springer Netherlands.

• Teinemaa, Irene, Tax, Niek, de Leoni, Massimiliano, Dumas, Marlon & Maggi, Fabrizio Maria (2018). Alarm-based prescriptive process monitoring. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management Forum - BPM Forum 2018, Proceedings (pp. 91-107). (Lecture Notes in Business Information Processing, No. 329). Cham: Springer.

• van Zelst, Sebastiaan J., Fani Sani, Mohammadreza, Ostovar, Alireza, Conforti, Raffaele & La Rosa, Marcello (2018). Filtering spurious events from event streams of business processes. Advanced Information Systems Engineering - 30th International Conference, CAiSE 2018, Proceedings (pp. 35-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10816 LNCS). Springer.

• 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)

• Mannhardt, F. (2018). Multi-perspective process mining. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Hajo Reijers, Wil van der Aalst & Massimiliano de Leoni).

• Arriagada-Benítez, M., Sepúlveda, M., Munoz-Gama, J. & Buijs, J.C.A.M. (2017). Strategies to automatically derive a process model from a configurable process model based on event data. Applied Sciences, 7(10):1023.

• Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2017). Process variant comparison: using event logs to detect differences in behavior and business rules. Information Systems,

• Cheng, L., Tachmazidis, I., Kotoulas, S. & Antoniou, G. (2017). Design and evaluation of small-large outer joins in cloud computing environments. Journal of Parallel and Distributed Computing, 110, 2-15.

• Cheng, L., Kotoulas, S., Ward, T.E. & Theodoropoulos, G. (2017). Improving the robustness and performance of parallel joins over distributed systems. Journal of Parallel and Distributed Computing, 109, 310-323.

• de Leoni, M. & Marrella, A. (2017). Aligning real process executions and prescriptive process models through automated planning. Expert Systems with Applications, 82, 162–183.

• de Leoni, M., Lanciano, G. & Marrella, A. (2017). A tool for aligning event logs and prescriptive process models through automated planning. CEUR Workshop Proceedings, 1920.

• González-López de Murillas, E., Fabra, J., Álvarez, P. & Ezpeleta, J. (2017). Parallel computation of the reachability graph of petri net models with semantic information. Software : Practice and Experience, 47(5), 647-668.

• Hassani, M., Töws, D., Cuzzocrea, A. & Seidl, T. (2017). BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. International Journal of Data Science and Analytics,

• Hassani, M. & Seidl, T. (2017). Using internal evaluation measures to validate the quality of diverse stream clustering algorithms. Vietnam Journal of Computer Science, 4(3), 171–183-171–183.

• Kalenkova, A.A., van der Aalst, W.M.P., Lomazova, I.A. & Rubin, V.A. (2017). Process mining using BPMN: relating event logs and process models. Software and Systems Modeling, 16(4), 1019-1048.

• Lee, W.L.J., Verbeek, H.M.W., Munoz-Gama, J., van der Aalst, W.M.P. & Sepúlveda, M. (2017). Replay using recomposition : alignment-based conformance checking in the large. CEUR Workshop Proceedings, 1920:157.

• Li, G. & van der Aalst, W.M.P. (2017). A framework for detecting deviations in complex event logs. Intelligent Data Analysis, 21(4), 759-779.

• Low, W.Z., van der Aalst, W.M.P., ter Hofstede, A.H.M., Wynn, M.T. & De Weerdt, J. (2017). Change visualisation : analysing the resource and timing differences between two event logs. Information Systems, 65, 106-123.

• Mitsyuk, A.A., Shugurov, I.S., Kalenkova, A.A. & van der Aalst, W.M.P. (2017). Generating event logs for high-level process models. Simulation Modelling Practice and Theory, 74, 1-16.

• Pika, A., Leyer, M., Wynn, M.T., Fidge, C.J., Ter Hofstede, A.H.M. & Van Der Aalst, W.M.P. (2017). Mining resource profiles from event logs. ACM Transactions on Management Information Systems, 8(1):1.

• Polyvyanyy, A., Ouyang, C., Barros, A. & van der Aalst, W.M.P. (2017). Process querying : enabling business intelligence through query-based process analytics. Decision Support Systems, 100, 41-56.

• Poppe, E., Wynn, M. T., Ter Hofstede, A.H.M., Brown, R., Pini, A. & Van Der Aalst, W.M.P. (2017). Processprofiler3D : A tool for visualising performance differences between process cohorts and process instances. CEUR Workshop Proceedings, 1920:203

• Raichelson, L., Soffer, P. & Verbeek, H.M.W. (2017). Merging event logs : combining granularity levels for process flow analysis. Information Systems, 71, 211-227.

• Reijers, H.A., Vanderfeesten, I.T.P., Plomp, M.G.A., Van Gorp, P.M.E., Fahland, D., van de Crommert, W.L.M. & Diaz Garcia, H.D. (2017). Evaluating data-centric process approaches: does the human factor factor in?. Software and Systems Modeling, 16(3), 649-662.

• Schueller, D., Beecks, C., Hassani, M., Hinnell, J., Brenger, B., Seidl, T. & Mittelberg, I. (2017). Automated pattern analysis in gesture research : similarity measuring in 3D motion capture models of communicative action. Digital Humanities Quarterly, 11(2), 1-14.

• SteadieSeifi, M., Dellaert, N. P., Nuijten, W. & Van Woensel, T. (2017). A metaheuristic for the multimodal network flow problem with product quality preservation and empty repositioning. Transportation Research. Part B: Methodological, 106, 321-344.

• Suriadi, S., Wynn, M.T., Xu, J., van der Aalst, W.M.P. & ter Hofstede, A.H.M. (2017). Discovering work prioritisation patterns from event logs. Decision Support Systems, 100, 77-92.

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• Martjushev, J., Rantham Prabhakara, JC & van der Aalst, Wil (2015). Change point detection and dealing with gradual and multi-order dynamics in process mining. In M. Dumas & R. Matulevicius (Eds.), Perspectives in Business Informatics Research (14th International Conference, BIR 2015, Tartu, Estonia, August 26-28, 2015, Proceedings) (pp. 161-178). (Lecture Notes in Business Information Processing, No. 229). Springer.

• Schunselaar, Dennis, Verbeek, Eric, Reijers, Hajo & van der Aalst, Wil (2015). YAWL in the cloud : supporting process sharing and variability. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 367-379). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.

• Schunselaar, Dennis, Verbeek, Eric, Reijers, Hajo & van der Aalst, Wil (2015). A structural model comparison for finding the best performing models in a collection. In H.R. Motahari-Nezhad, M. Weidlich & J. Recker (Eds.), Business Process Management (13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015) (pp. 180-188). (Lecture Notes in Computer Science, No. 9253). Cham: Springer.

• Schunselaar, Dennis, Leopold, H., Verbeek, Eric, van der Aalst, Wil & Reijers, Hajo (2015). Configuring configurable process models made easier: An automated approach. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 105-117). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.

• Splunter, van, S., Heidari, Farideh & Brazier, F.M.T. (2015). Enhancing participation through empowering actor autonomy in workflow management. 9th European Conference on IS Management and Evaluation (ECIME 2015, Bristol, UK, September 21-22, 2015) Bristol, UK: acpi.

• Tarhan, Ayça, Türetken, Oktay & Reijers, Hajo (2015). Do mature business processes lead to improved performance? : a review of literature for empirical evidence. Proceedings of the 23rd European Conference on Information Systems (ECIS 2015), 26-29 May 2015, Munster, Germany (pp. 1-16). Munster, Germany: Association for Information Systems.

• van der Aa, Han, Leopold, H. & Reijers, Hajo (2015). Detecting inconsistencies between process models and textual descriptions. In H.R. Motahari-Nezhad, M. Weidlich & J. Recker (Eds.), Business Process Management (13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015) (pp. 90-105). (Lecture Notes in Computer Science, No. 9253). Cham: Springer.

• van der Aa, Han, Leopold, H., Mannhardt, Felix & Reijers, Hajo (2015). On the fragmentation of process information : challenges, solutions, and outlook. In K. Gaaloul, R. Schmidt, Q. Ma, S. Guerreiro & S. Nurcan (Eds.), Enterprise, Business-Process and Information Systems Modeling (16th International Conference, BPMDS 2015, 20th International Conference, EMMSAD 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Proceedings) (pp. 3-18). (Lecture Notes in Business Information Processing, No. 214). Berlin: Springer.

• van der Aalst, Wil, Guo, Shengnan & Gorissen, Pierre (2015). Comparative process mining in education : an approach based on process cubes. In P. Ceravolo, P. Cudre-Mauroux & R. Accorsi (Eds.), Data-Driven Process Discovery and Analysis (Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers) (pp. 110-134). (Lecture Notes in Business Information Processing, No. 203). Berlin: Springer.

• van der Aalst, Wil, Kalenkova, A.A., Verbeek, Eric & Rubin, V.A. (2015). Process discovery using localized events. In A. Valmari & R. Devillers (Eds.), Application and Theory of Petri Nets and Concurrency (36th International Conference, Petri Nets 2015, Brussels, Belgium, June 21-26, 2015) (pp. 287-308). (Lecture Notes in Computer Science, No. 9115). Berlin: Springer.

• van der Aalst, Wil (2015). Big software on the run : in vivo software analytics based on process mining (keynote). 2015 International Conference on Software and System Process (ICSSP'15, Tallinn, Estonia, August 24-26, 2015) (pp. 1-5). New York: ACM.

• van der Aalst, Wil, Low, W.Z., Wynn, M.T. & ter Hofstede, Arthur (2015). Change your history : learning from event logs to improve processes. 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD'15, Calabria, Italy, May 6-8, 2015) (pp. 7-12). Piscataway: IEEE.

• van der Werf, Jan Martijn & Verbeek, Eric (2015). Online compliance monitoring of service landscapes. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 89-95). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.

• van Dongen, Boudewijn & Shabaninejad, Shiva (2015). Relational XES: Data management for process mining. In K. Sandkuhl & J. Grabis (Eds.), Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering (Stockholm, Sweden, June 10, 2015) (pp. 169-176). (CEUR Workshop Proceedings, No. 1367). Aachen: CEUR-WS.org.

• van Eck, Maikel, Lu, Xixi, Leemans, Sander & van der Aalst, Wil (2015). PM2 : a process mining project methodology. In J. Zdravkovic, P. Johannesson & M. Kirikova (Eds.), Advanced Information Systems (27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015. Proceedings) (pp. 297-313). (Lecture Notes in Computer Science, No. 9097). Berlin: Springer.

• van Eck, Maikel, Buijs, Joos & van Dongen, Boudewijn (2015). Genetic process mining : alignment-based process model mutation. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 291-303). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.

• van Eck, Maikel, Sidorova, Natalia & van der Aalst, Wil (2015). KPI-based activity planning for people working in flexible processes. In K. Sandkuhl & J. Grabis (Eds.), Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering (Stockholm, Sweden, June 10, 2015) (pp. 97-104). (CEUR Workshop Proceedings, No. 1367). Aachen: CEUR-WS.org.

• van Zelst, Bas, van Dongen, Boudewijn & van der Aalst, Wil (2015). Know what you stream : generating event streams from CPN Models in ProM 6. In S. Zugal & F. Daniel (Eds.), Proceedings of the Demo Session of the 13th International Conference on Business Process Management (BPM 2015, Innsbruck, Austria, August 31-September 3, 2015) (pp. 85-89). (CEUR Workshop Proceedings, No. 1418). Technische Universiteit Eindhoven.

• van Zelst, Bas, van Dongen, Boudewijn & van der Aalst, Wil (2015). Avoiding over-fitting in ILP-based process discovery. In H.R. Motahari-Nezhad, M. Weidlich & J. Recker (Eds.), Business Process Management (13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015) (pp. 163-171). (Lecture Notes in Computer Science, No. 9253). Cham: Springer.

• van Zelst, Bas, van Dongen, Boudewijn & van der Aalst, Wil (2015). ILP-based process discovery using hybrid regions. In W.M.P. Aalst, van der, J. Carmona & R. Bergenthum (Eds.), Algorithms & Theories for the Analysis of Event Data (ATAED'15, Brussels, Belgium, June 22-23, 2015) (pp. 47-61). (CEUR Workshop Proceedings, No. 1371). Aachen: CEUR-WS.org.

• Vanwersch, Rob, Vanderfeesten, Irene, Rietzschel, E.F. & Reijers, Hajo (2015). Improving business processes : does anybody have an idea?. In H.R. Motahari-Nezhad, M. Weidlich & J. Recker (Eds.), Business Process Management (13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015) (pp. 3-18). (Lecture Notes in Computer Science, No. 9253). Springer.

• Verbeek, Eric & van der Aalst, Wil (2015). Decomposed process mining : the ILP case. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 264-276). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.

• (2015). Process mining in healthcare. (SpringerBriefs in Business Process Management,). Cham: Springer, 91 pp.

• (2015). Scientific workflows for process mining : building blocks, scenarios, and implementation. (BPM reports, No. 1503). BPMcenter.org, 21 pp.

• (2015). BPMNDiffViz : a tool for BPMN models comparison. (BPM reports, No. 1507). BPMcenter.org, 5 pp.

• (2015). Process mining using BPMN : relating event logs and process models. (BPM reports, No. 1501). BPMcenter.org, 0 pp.

• (2015). Discovering interacting artifacts from ERP systems (extended version). (BPM reports, No. 1508). BPMcenter.org, 63 pp.

• (2015). Exploring students’ learning behaviour in MOOCs using process mining techniques. (BPM reports, No. 1510). BPMcenter.org, 26 pp.

• (2015). Uncovering learning patterns in a MOOC through conformance alignments. (BPM reports, No. 1509). BPMcenter.org, 20 pp.

• (2015). A structural model comparison for finding the best performing models in a collection. (BPM reports, No. 1505). BPMcenter.org, 16 pp.

• (2015). Relational XES : data management for process mining. (BPM reports, No. 1502). BPMcenter.org, 8 pp.

• (2015). Filter techniques for region-based process discovery. (BPM reports, No. 1504). BPMcenter.org, 21 pp.

• (2015). How suitable is the RePro technique for rethinking care processes?. (BETA publicatie : working papers, No. 468). Eindhoven: Technische Universiteit Eindhoven, 17 pp.

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