Publications
2018
Article
Scientific peer reviewed
- 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.
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.
- 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.
Conference contribution
Scientific peer reviewed
- 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.
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)
- Mannhardt, F. (2018). Multi-perspective process mining. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Hajo Reijers, Wil van der Aalst & Massimiliano de Leoni).
2017
Article
Scientific peer reviewed
- 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.
- van der Aa, H., Leopold, H. & Reijers, Hajo A. (2017). Comparing textual descriptions to process models : the automatic detection of inconsistencies. Information Systems, 64, 447-460.
- van der Aa, H., Leopold, H., del-Río-Ortega, A., Resinas, M. & Reijers, H.A. (2017). Transforming unstructured natural language descriptions into measurable process performance indicators using Hidden Markov Models. Information Systems, 71, 27-39.
- van der Aalst, W.M.P., Artale, A., Montali, M. & Tritini, S. (2017). Object-centric behavioral constraints : Integrating data and declarative process modelling. CEUR Workshop Proceedings, 1879:51.
- van Eck, M.L., Firat, M., Nuijten, W.P.M., Sidorova, N. & van der Aalst, W.M.P. (2017). Human performance-aware scheduling and routing of a multi-skilled workforce. Complex Systems Informatics and Modeling Quarterly. (12), 1-21.
- van Hulst, D., den Hertog, D. & Nuijten, W.P.M. (2017). Robust shift generation in workforce planning. Computational Management Science, 14(1), 115-134.
- van Zelst, S.J., Bolt Irondio, A.J., Hassani, M., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Online conformance checking: relating event streams to process models using prefix-alignments. International Journal of Data Science and Analytics.
- van Zelst, S.J., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Event stream-based process discovery using abstract representations. Knowledge and Information Systems, 1-29.
- Verbeek, H.M.W., Munoz Gama, J. & van der Aalst, W.M.P. (2017). Divide and conquer: a tool framework for supporting decomposed discovery in process mining. The Computer Journal, 60(11), 1649-1674.
- Wynn, M.T., Poppe, E., Xu, J., ter Hofstede, A.H.M., Brown, R., Pini, A. & van der Aalst, W.M.P. (2017). ProcessProfiler3D : a visualisation framework for log-based process performance comparison. Decision Support Systems, 100, 93-108.
Scientific not peer reviewed
- Brochenin, R., Buijs, J.C.A.M., Vahdat, M. & van der Aalst, W.M.P. (2017). Resource usage analysis from a different perspective on MOOC dropout. arXiv, (1710.05917v1),
- Leemans, M., van der Aalst, W.M.P. & van den Brand, M.G.J. (2017). Recursion aware modeling and discovery for hierarchical software event log analysis (extended). arXiv:1710.09323v1
Editorial
Scientific peer reviewed
- Bichler, M., Heinzl, A. & van der Aalst, W.M.P. (2017). Business analytics and data science : once again?. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 59(2), 77-79.
- Heinzl, A., Bichler, M. & van der Aalst, W.M.P. (2017). Trans-national joint research projects : defying the odds of National Inter-University Competition. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 59(4), 205-206.
- van der Aalst, W.M.P., Bichler, M. & Heinzl, A. (2017). Responsible Data Science. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 59(5), 311-313.
Review article
Scientific peer reviewed
- La Rosa, M., Van Der Aalst, W.M.P., Dumas, M. & Milani, F.P. (2017). Business process variability modeling : a survey. ACM Computing Surveys, 50(1):2
Chapter
Scientific peer reviewed
- De Murillas, E.G.L., Reijers, H.A. & van der Aalst, W.M.P. (2017). Everything you always wanted to know about your process, but did not know how to ask. Business Process Management Workshops (pp. 296-309). (Lecture Notes in Business Information Processing, No. 281). BHRA / Springer Verlag.
- 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.
- Tax, N., Sidorova, N., Haakma, R. & van der Aalst, W.M.P. (2017). Mining process model descriptions of daily life through event abstraction. Intelligent Systems and Applications (Studies in Computational Intelligence, No. 751).
- 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
- Assy, N., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Discovering hierarchical consolidated models from process families. Advanced Information Systems Engineering (pp. 314-329). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10253 LNCS). Dordrecht: Springer.
- Bolt Iriondo, A.J., de Leoni, M., van der Aalst, W.M.P. & Gorissen, P. (2017). Business process reporting using process mining, analytic workflows and process cubes : A case study in education. In R.-M. Stefanie & C. Paolo (Eds.), Data-Driven Process Discovery and Analysis (pp. 28-53). (Lecture Notes in Business Information Processing, No. 244). Dordrecht: Springer.
- Bolt Iriondo, A.J., van der Aalst, W.M.P. & de Leoni, M. (2017). Finding process variants in event logs (short paper). In W. Gaaloul, H. Panetto, A. Paschke, C. Agostino Ardagna, R. Meersman, M. Papazoglou & C. Debruyne (Eds.), On the Move to Meaningful Internet Systems. OTM 2017 Conferences (pp. 45-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10573 LNCS). Dordrecht: Springer Netherlands.
- 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.
- Cheng, L. & Li, T. (2017). Efficient data redistribution to speedup big data analytics in large systems. Proceedings of the 23rd IEEE International Conference on High Performance Computing, 19-22 December 2016, Hyderabad, India (pp. 91-100). Piscataway: IEEE.
- Cheng, L., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Efficient event correlation over distributed systems. Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 (pp. 1-10). Piscataway: Institute of Electrical and Electronics Engineers (IEEE).
- Cheng, L., Wang, Y., Pei, Y. & Epema, D.H.J. (2017). A coflow-based co-optimization framework for high-performance data analytics. 2017 46th International Conference on Parallel Processing (ICPP), 14-17 August 2017, Bristol, United Kingdom (pp. 392-401). Piscataway: Institute of Electrical and Electronics Engineers (IEEE).
- Dalmas, B., Tax, N. & Norre, S. (2017). Heuristics for high-utility local process model mining. In J. Carmona, W. van der Aalst & R. Bergenthum (Eds.), Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data (pp. 106-121). (CEUR Workshops proceedings, No. 1847). CEUR.
- Dees, M., de Leoni, M. & Mannhardt, F. (2017). Enhancing process models to improve business performance : a methodology and case studies. In M. Papazoglou, C. Agostino Ardagna, W. Gaaloul, R. Meersman, A. Paschke, C. Debruyne & H. Panetto (Eds.), On the Move to Meaningful Internet Systems. OTM 2017 Conferences (pp. 232-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10573 LNCS). Dordrecht: Springer Netherlands.
- Dixit, P.M., Garcia Caballero, H.S., Corvo, A., Hompes, B.F.A., Buijs, J.C.A.M. & van der Aalst, W.M.P. (2017). Enabling interactive process analysis with process mining and visual analytics. Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 573-584).
- Dixit, P.M., Buijs, J.C.A.M., van der Aalst, W.M.P., Hompes, B.F.A. & Buurman, J. (2017). Using domain knowledge to enhance process mining results. In S. Rinderle-Ma & P. Ceravolo (Eds.), Data-Driven Process Discovery and Analysis (pp. 76-104). (Lecture Notes in Business Information Processing, No. 244). Dordrecht: Springer.
- de Leoni, M. & Marrella, A. (2017). How planning techniques can help process mining : the conformance-checking case. Proceedings of the 25th Italian Symposium on Advanced Database (SEBD 2017), 25-29 June 2017, Squillace Lido, Italy
- Fani Sani, M., van der Aalst, W.M.P., Bolt Irondo, A.J. & García-Algarra, J. (2017). Subgroup discovery in process mining. In W. Abramowicz (Ed.), Business Information Systems (pp. 237-252). (Lecture Notes in Business Information Processing, No. 288). Dordrecht: Springer.
- González López De Murillas, E., Helm, E., Reijers, H.A. & Küng, J. (2017). Audit trails in OpenSLEX : paving the road for process mining in healthcare. In M. Bursa, M. Elena Renda, A. Holzinger & S. Khuri (Eds.), Information Technology in Bio- and Medical Informatics (pp. 82-91). (ITBAM 2017, 8th International Conference on Information Technology in Bio- and Medical Informatics, Lyon, France). Dordrecht: Springer.
- Hassani, M., Töws, D., Cuzzocrea, A. & Seidl, T. (2017). BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. Proceedings of BigMine workshop @KDD
- Hassani, M., Töws, D. & Seidl, T. (2017). Understanding the bigger picture : Batch-free exploration of streaming sequential patterns with accurate prediction. 32nd Annual ACM Symposium on Applied Computing, SAC 2017 (pp. 866-869). Marrakech, Morocco: ACM
- Hompes, B.F.A., Maaradji, Abderrahmane, La Rosa, M., Dumas, M., Buijs, J.C.A.M. & van der Aalst, W.M.P. (2017). Discovering causal factors explaining business process performance. CAiSE 2017 (pp. 177-191). Essen: Springer International Publishing AG.
- Hompes, B.F.A., Buijs, J.C.A.M., van der Aalst, W.M.P., Dixit, P.M. & Buurman, J. (2017). Detecting changes in process behavior using comparative case clustering. In S. Rinderle-Ma & P. Ceravolo (Eds.), Data-Driven Process Discovery and Analysis (pp. 54-75). (Lecture Notes in Business Information Processing, No. 244). Dordrecht: Springer.
- Jabeen, F., Leopold, H. & Reijers, H.A. (2017). How to make process model matching work better? An analysis of current similarity measures. Business Information Systems - 20th International Conference, BIS 2017, Proceedings (pp. 181-193). (Lecture Notes in Business Information Processing, No. 288). 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.
- Li, G., de Carvalho, R.M. & Van der Aalst, W.M.P. (2017). Automatic discovery of object-centric behavioral constraint models. In W. Abramowicz (Ed.), Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings (pp. 43-58). (Lecture Notes in Business Information Processing, No. 288). Dordrecht: Springer.
- Lu, X., Fahland, D., Andrews, R., Suriadi, S., Wynn, M.T., ter Hofstede, A.H.M. & van der Aalst, W.M.P. (2017). Semi-supervised log pattern detection and exploration using event concurrence and contextual information. In C.A. Ardagna, W. Gaaloul, H. Panetto, M. Papazoglou, C. Debruyne, R. Meersman & A. Paschke (Eds.), On the Move to Meaningful Internet Systems. OTM 2017 Conferences (pp. 154-174). (LNCS, No. 10573). Dordrecht: Springer Netherlands.
- Lu, Y., Hassani, M. & Seidl, T. (2017). Incremental temporal pattern mining using efficient batch-free stream clustering. SSDBM 2017 (pp. 1-12). New York: ACM.
- Mannhardt, F. & Tax, N. (2017). Unsupervised event abstraction using pattern abstraction and local process models. RADAR+EMISA 2017, June 12-13, 2017, Essen, Germany (pp. 55-63). (CEUR Workshop Proceedings, No. 1859). s.l.: CEUR-WS.org.
- Mannhardt, F., de Leoni, M., Reijers, H.A. & van der Aalst, W.M.P. (2017). Data-driven process discovery : revealing conditional infrequent behavior from event logs. In Eric Dubois & Klaus Pohl (Eds.), Advanced Information Systems Engineering: 29th International Conference, CAiSE 2017, Essen, Germany, June 12-16, 2017, Proceedings (pp. 545-560). (Lecture Notes in Computer Science, No. 10253). Cham: Springer.
- Mannhardt, F. & Blinde, D. (2017). Analyzing the trajectories of patients with sepsis using process mining. RADAR+EMISA 2017, Essen, Germany, June 12-13, 2017 (pp. 72-80). (CEUR Workshop Proceedings, No. 1859). CEUR-WS.org.
- Mannhardt, F., de Leoni, M. & Reijers, H.A. (2017). Heuristic mining revamped : an interactive, data-aware, and conformance-aware miner. Proceedings of the Demo Session of the 15th International Conference on Business Process Management (BPM 2017, Barcelona, Spain, September 10-September 15, 2017) (pp. 1-5).
- Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P. & Toussaint, P.J. (2017). From low-level events to activities : a pattern-based approach. 8th International Workshop on Enterprise Modelling and Information Systems Architectures (EMISA 2017), 12-13 June 2017, Essen, Germany (pp. 47-47). (Mitteilungen der GI-Fachgruppe Entwicklungsmethoden für Informationssysteme und deren Anwendung, No. 37).
- Scharwächter, E., Müller, E., Donges, J., Hassani, M. & Seidl, T. (2017). Detecting change processes in dynamic networks by frequent graph evolution rule mining. 16th IEEE International Conference on Data Mining, ICDM 2016; Barcelona, Catalonia; Spain; 12 December 2016 through 15 December 2016 (pp. 1191-1196). Piscataway: IEEE.
- Syamsiyah, A., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Discovering social networks instantly : Moving process mining computations to the database and data entry time. In P. Bera, J. Gulden, I. Reinhartz-Berger, W. Guédria & S. Nurcan (Eds.), Enterprise, Business-Process and Information Systems Modeling (pp. 51-67). (Lecture Notes in Business Information Processing, No. 287). Dordrecht: Springer.
- Syamsiyah, A., Bolt Irondo, A.J., Cheng, L., Hompes, B.F.A., Jagadeesh Chandra Bose, R.P., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Business process comparison : a methodology and case study. In W. Abramowicz (Ed.), Business Information Systems (pp. 253-267). (Lecture Notes in Business Information Processing, No. 288). Dordrecht: Springer.
- Tax, N., Verenich, I., La Rosa, M. & Dumas, M. (2017). Predictive business process monitoring with LSTM neural networks. In Eric Dubois & Klaus Pohl (Eds.), International Conference on Advanced Information Systems Engineering Springer.
- Tax, N., Sidorova, N., van der Aalst, W.M.P. & Haakma, R. (2017). Heuristic approaches for generating local process models through log projections. Proceedings of IEEE Symposium on Computational Intelligence and Data Mining, December 6-9, 2016, Athens, Greece (pp. 1-8). Piscataway: IEEE.
- Tax, N., Sidorova, N., Haakma, R. & van der Aalst, W.M.P. (2017). Event abstraction for process mining using supervised learning techniques. In Y. Bi, S. Kapoor & R. Bhatia (Eds.), Proceedings of the SAI Intelligent Systems Conference (IntelliSys 2016), 21-22 September 2016, London, United Kingdom (pp. 251-269). (LNNS, No. 15). 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).
- Tax, N., Sidorova, N. & van der Aalst, W.M.P. (2017). Local process models: pattern mining with process models. 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. 83-86).
- van der Aa, H., Leopold, H. & Reijers, H.A. (2017). Checking process compliance on the basis of uncertain event-to-activity mappings. Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017 (pp. 79-93). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10253 LNCS). BHRA / Springer Verlag.
- Van Der Aalst, W.M.P. (2017). Process cubes : slicing, dicing, rolling up and drilling down event data for process mining. In J. Liu, M.T. Wynn & M. Song (Eds.), Asia Pacific Business Process Management (pp. 1-22). (Lecture Notes in Business Information Processing, No. 159). Dordrecht: Springer Netherlands.
- van der Aalst, Wil & Best, Eike (2017). Application and Theory of Petri Nets and Concurrency : 38th International Conference, PETRI NETS 2017 Zaragoza, Spain, June 25–30, 2017 Proceedings. In W.M.P. van der Aalst & E. Best (Eds.), Application and Theory of Petri Nets and Concurrency - 38th International Conference, PETRI NETS 2017, Proceedings (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10258 LNCS). Dordrecht: Springer.
- van der Aalst, W.M.P. (2017). Responsible data science : using event data in a “people friendly” manner. In O. Camp, J. Cordeiro, M.M. Missikoff, L.A. Maciaszek & S. Hammoudi (Eds.), Enterprise Information Systems (pp. 3-28). (Lecture Notes in Business Information Processing, No. 291). Dordrecht: Springer.
- Van Dongen, B.F., Carmona, J., Chatain, T. & Taymouri, F. (2017). Aligning modeled and observed behavior : a compromise between computation complexity and quality. In E. Dubois & K. Pohl (Eds.), Advanced Information Systems Engineering (pp. 94-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10253 LNCS). Dordrecht: Springer Netherlands.
- van Eck, M.L., Sidorova, N. & van der Aalst, W.M.P. (2017). Composite state machine miner : discovering and exploring multi-perspective processes. In C. Cabanillas & L. Azevedo (Eds.), Proceedings of the BPM Demo Track 2016 (pp. 73-77). (CEUR Workshop Proceedings, No. 1789). CEUR-WS.org.
- van Eck, M.L., Sidorova, N. & van der Aalst, W.M.P. (2017). Guided interaction exploration in artifact-centric process models. Proceedings of the 19th IEEE Conference on Business Informatics, CBI 2017 IEEE.
- van Zelst, S.J., Bolt Iriondo, A.J., Hassani, M., van Dongen, B.F. & van der Aalst, W.M.P. (2017). Online conformance checking: relating event streams to process models using prefix-alignments. Proceedings of BigMine @KDD
- van Zelst, S.J., Bolt Iriondo, A.J. & van Dongen, B.F. (2017). Tuning alignment computation : an experimental evaluation. In J. Carmona, W. van der Aalst & R. Bergenthum (Eds.), Algorithms and Theories for the Analysis of Event Data 2017. Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data (ATAED 2017),Zaragoza, Spain, June 26–27, 2017 (pp. 6-20). (CEUR Workshop Proceedings, No. 1847).
Paper
Scientific
- Garcia Caballero, H.S., Corvo, A., Dixit, P.M. & Westenberg, M.A. (2017). Visual analytics for evaluating clinical pathways.
- Garcia Caballero, H.S., Westenberg, M.A., Verbeek, H.M.W. & van der Aalst, W.M.P. (2017). Visual analytics for soundness verification of process models.
Other research output
Report
Scientific
Phd Thesis 1 (Research TU/e / Graduation TU/e)
Scientific
- Leemans, S.J.J. (2017). Robust process mining with guarantees. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst & Dirk Fahland).
- Ramezani Taghiabadi, E. (2017). Understanding non-compliance. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst & Dirk Fahland).
Abstract
Other research output
- Firat, M., Dellaert, N.P. & Nuijten, W.P.M. (2017). Incorporating linear optimization into routing problems.
2016
Article
Scientific peer reviewed
- Van Der Aa, Han, Leopold, H. & Reijers, H.A. (2016). Dealing with behavioral ambiguity in textual process descriptions. Lecture notes in computer science, 9850, 271-288. Scopus.
- van der Aa, J.H., Reijers, H.A. & Vanderfeesten, I.T.P. (2016). Designing like a pro : the automated composition of workflow activities. Computers in Industry, 75, 162-177. Scopus.
- Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2016). Scientific workflows for process mining : building blocks, scenarios, and implementation. International Journal on Software Tools for Technology Transfer, Scopus.
- De Leoni, M., van der Aalst, W.M.P. & Dees, M. (2016). A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs. Information Systems, 56. 235-257. Scopus.
- De Leoni, M., Suriadi, S., Hofstede, ter, A.H.M. & van der Aalst, W.M.P. (2016). Turning event logs into process movies. Software and Systems Modeling, Scopus
- Dijkman, R.M., Vanderfeesten, I.T.P. & Reijers, H.A. (2016). Business process architectures: overview, comparison and framework. Enterprise Information Systems, 10(2), 129-158. Scopus.
- Firat, M., Briskorn, D. & Laugier, A. (2016). A Branch-and-Price algorithm for stable workforce assignments with hierarchical skills. European Journal of Operational Research, 251(2), 676-685. Scopus.
- González-López de Murillas, E., Fabra, J., Álvarez, P. & Ezpeleta, J. (2016). Parallel computation of the reachability graph of petri net models with semantic information. Software : Practice and Experience. Scopus.
- Leemans, S.J.J., Fahland, D. & van der Aalst, W.M.P. (2016). Scalable process discovery and conformance checking. Software and Systems Modeling, 1-33. Scopus.
- Li, B., Krushinsky, D., van Woensel, T. & Reijers, H.A. (2016). An adaptive large neighborhood search heuristic for the share-a-ride problem. Computers & Operations Research, 66, 170-180. Scopus.
- Li, B., Krushinsky, D., van Woensel, T. & Reijers, H.A. (2016). The Share-a-Ride problem with stochastic travel times and stochastic delivery locations. Transportation Research. Part C: Emerging Technologies, 67, 95-108. Scopus.
- Low, W.Z., vanden Broucke, S.K.L.M., Wynn, M.T., ter Hofstede, A.H.M., De Weerdt, J. & van der Aalst, W.M.P. (2016). Revising history for cost-informed process improvement. Computing, 98(9), 895-921. Scopus.
- Lu, X., Fahland, D., van den Biggelaar, F.J.H.M. & van der Aalst, W.M.P. (2016). Handling duplicated tasks in process discovery by refining event labels. Lecture notes in computer science, 9850, 90-107. Scopus.
- Maggi, F.M. & Westergaard, M. (2016). Designing software for operational decision support through coloured Petri nets. Enterprise Information Systems, Scopus.
- Mannhardt, F., De Leoni, M., Reijers, H.A. & van der Aalst, W.M.P. (2016). Balanced multi-perspective checking of process conformance. Computing, 98(4), 407-437. Scopus.
- Pika, A., van der Aalst, W.M.P., Wynn, M.T., Fidge, C.J. & ter Hofstede, A.H.M. (2016). Evaluating and predicting overall process risk using event logs. Information Sciences, 352-353, 98-120. Scopus.
- Polyvyanyy, A., van der Aalst, W.M.P., ter Hofstede, A.H.M. & Wynn, M.T. (2016). Impact-driven process model repair. ACM Transactions on Software Engineering and Methodology, 25(4):28. Scopus.
- Reijers, H.A., Vanderfeesten, I.T.P. & van der Aalst, W.M.P. (2016). The effectiveness of workflow management systems : a longitudinal study. International Journal of Information Management, 36(1), 126-141. Scopus.
- Reijers, H.A., Vanderfeesten, I.T.P., Plomp, M.G.A., Van Gorp, P.M.E., Fahland, D., Crommert, van de, W.L.M. & Diaz Garcia, H.D. (2016). Evaluating data-centric process approaches. Software and Systems Modeling, Scopus.
- Tarhan, A., Turetken, O. & Reijers, H.A. (2016). Business process maturity models: a systematic literature review. Information and Software Technology, 75, 122-134. Scopus.
- Tax, N., Sidorova, N., Haakma, R. & van der Aalst, W.M.P. (2016). Mining local process models. Journal of Innovation in Digital Ecosystems, 3(2), 183-196.
- Tax, N., Sidorova, N., Haakma, R. & van der Aalst, W.M.P. (2016). Log-based evaluation of label splits for process models. Procedia Computer Science, 96, 63-72. Scopus.
- Vanwersch, R.J.B., Shahzad, K., Vanderfeesten, I.T.P., Vanhaecht, K., Grefen, P.W.P.J., Pintelon, L.M., Mendling, J., Merode, van, G.G. & Reijers, H.A. (2016). A critical evaluation and framework of business process improvement methods. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 58(1), 43-53.
Editorial
Scientific peer reviewed
- Bichler, M., Heinzl, A. & van der Aalst, W.M.P. (2016). BISE and the engineering sciences. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 58(2), 105-106. Scopus.
- Heinzl, A., Bichler, M. & van der Aalst, W.M.P. (2016). Disciplinary pluralism, flagship conferences, and journal submissions. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 58(4), 243-245. Scopus.
- van der Aalst, W.M.P., Bichler, M. & Heinzl, A. (2016). Open research in business and information systems engineering. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 58(6), 375-379. Scopus.
Chapter
Scientific peer reviewed
- Ostovar, A., Maaradji, A., La Rosa, M., ter Hofstede, A.H.M. & van Dongen, B.F. (2016). Detecting drift from event streams of unpredictable business processes. In I.Y. Song, M. Saeki, I. Comyn-Wattiau , S. Yamamoto & K. Tanaka (Eds.), CONCEPTUAL MODELING, ER 2016 (pp. 330-346). (Lecture Notes in Computer Science). Scopus.
- van Dongen, B.F., Ferreira, D.R., De Weerdt, J. & Burattin, A. (2016). Introduction to the 11th International Workshop on Business Process Intelligence (BPI 2015). Business Process Management Workshops - BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 - September 3, 2015, Revised Papers (pp. 110-111). (Lecture Notes in Business Information Processing, No. 256). Dordrecht: Springer.
- van Eck, M.L., Sidorova, N. & van der Aalst, W.M.P. (2016). Discovering and exploring state-based models for multi-perspective processes. In P. Loos, M. La Rosa & O. Pastor (Eds.), Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings (pp. 142-157). (Lecture notes of computer science, No. 9850). Dordrecht: Springer. Scopus.
Professional
- van der Aalst, W.M.P., Bolt Iriondo, A.J. & van Zelst, S.J. (2016). RapidProM: Mine Your Processes and Not Just Your Data. RapidMiner: Data Mining Use Cases and Business Analytics Applications Chapman & Hall/CRC Press.
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 Aa, J.H., Leopold, H., Batoulis, K., Weske, M. & Reijers, H.A. (2016). Integrated process and decision modeling for data-driven processes. In M. Reichert & H.A. Reijers (Eds.), Business Process Management Workshops (pp. 405-417). (Lecture Notes in Business Information Processing, No. 256). 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.
- van der Aalst, W.M.P. (2016). Process mining. Multikonferenz Wirtschaftsinformatik, MKWI 2016, 9-11 Marz 2016, Ilmenau, Germany (pp. 23-26). Ilmenau: Universitatsverlag Ilmenau. Scopus.
- Alizadeh, M., de Leoni, M. & Zannone, N. (2016). Constructing probable explanations of nonconformity. Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 (pp. 1358-1365). Piscataway: IEEE. Scopus.
- Bolt, A., De Leoni, M. & van der Aalst, W.M.P. (2016). A visual approach to spot statistically-significant differences in event logs based on process metrics. In S. Nurcan, M. Bajec, J. Eder & P. Soffer (Eds.), Advanced Information Systems Engineering (pp. 151-166). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 9694). Dordrecht: Springer. Scopus.
- Cheng, L. & Li, T. (2016). Efficient data redistribution to speedup big data analytics in large systems. Proceedings of the 23rd IEEE International Conference on High Performance Computing, 19-22 December 2016, Hyderabad, India (pp. 91-100). Piscataway: IEEE.
- van Dongen, B.F., Carmona, J. & Chatain, T. (2016). A unified approach for measuring precision and generalization based on anti-alignments. In P. Loos, B. La Rosa & O. Pastor (Eds.), Business Process Management (pp. 39-56). (Lecture notes in computer science, No. 9850). Dordrecht: Springer. Scopus.
- van Dongen, B.F., Carmona, J & Chatain, T. (2016). Alignment-based quality metrics in conformance checking (Summary). 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. 87-90).
- van Eck, M.L., Sidorova, N. & van der Aalst, W.M.P. (2016). Enabling process mining on sensor data from smart products. IEEE RCIS 2016 - IEEE 10th International Conference on Research Challenges in Information Science, 1-3 may 2016, Grenoble, France (pp. 1-12). Brussels: IEEE Computer Society Press. Scopus.
- Emens, R.D., Vanderfeesten, I.T.P. & Reijers, H.A. (2016). The dynamic visualization of business process models. In M. Reichert & H.A. Reijers (Eds.), Business Process Management Workshops (pp. 559-570). (Lecture Notes in Business Information Processing). Berlin: Springer. 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. & Völzer, H. (2016). Dynamic skipping and blocking and dead path elimination for cyclic workflows. In Peter Loos, Oscar Pastor & Marcello La Rosa (Eds.), Business Process Management - 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings (pp. 234-251). (Lecture notes in computer science, No. 9850). Berlin: Springer. 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.
- González López De Murillas, E., Reijers, H.A. & van der Aalst, W.M.P. (2016). Connecting databases with process mining. In W. Guedria, S. Guerreiro & R. Schmidt (Eds.), Enterprise, Business-Process and Information Systems Modeling (pp. 231-249). (Lecture Notes in Business Information Processing, No. 248). Dordrecht: Springer. Scopus.
- Hachicha, E., Assy, N., Gaaloul, W. & Mendling, J. (2016). A Configurable Resource Allocation for Multi-tenant Process Development in the Cloud. Advanced Information Systems Engineering - 28th International Conference, CAiSE 2016, Ljubljana, Slovenia, June 13-17, 2016. Proceedings (pp. 558-574). Scopus.
- Hernández, S., Ezpeleta, J., van Zelst, S.J. & van der Aalst, W.M.P. (2016). Assessing process discovery scalability in data intensive environments. Proceedings - 2015 2nd IEEE/ACM International Symposium on Big Data Computing, BDC 2015, 7-10 December 2015, Limassol, Cyprus (pp. 99-104). Piscataway: IEEE. Scopus.
- Hompes, B.F.A., Buijs, J.C.A.M. & van der Aalst, W.M.P. (2016). A generic framework for context-aware process performance analysis. In E. Kuhn, T. Dillon, H. Panetto, C. Agostino Ardagna , R. Meersman, G. O'Sullivan & C. Debruyne (Eds.), On the Move to Meaningful Internet Systems: OTM 2016 Conferences (pp. 300-317). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10033 LNCS). Dordrecht: Springer. Scopus.
- Leemans, S.J.J., Fahland, D. & van der Aalst, W.M.P. (2016). Using life cycle information in process discovery. In M. Reichert & H.A. Reijers (Eds.), Business Process Management Workshops (pp. 204-217). (Lecture Notes in Business Information Processing, No. 256). Dordrecht: Springer. Scopus.
- Lu, X., Fahland, D., van den Biggelaar, F.J.H.M. & van der Aalst, W.M.P. (2016). Detecting deviating behaviors without models. In M. Reichert & H.A. Reijers (Eds.), Business Process Management Workshops (pp. 126-139). (Lecture Notes in Business Information Processing, No. 256). Dordrecht: Springer. In Scopus.
- Mannhardt, F., De Leoni, M., Reijers, H.A. & van der Aalst, W.M.P. (2016). Decision Mining Revisited - Discovering Overlapping Rules. In J. Eder, P. Soffer, S. Nurcan & M. Bajec (Eds.), Advanced Information Systems Engineering (pp. 377-392). (Lecture Notes in Computer Science, No. 9694). Berlin: Springer. Scopus.
- Mannhardt, F., De Leoni, M., Reijers, H.A., van der Aalst, W.M.P. & Toussaint, Pieter J. (2016). From low-level events to activities - a pattern-based approach. In P. Loos, M. La Rosa & O. Pastor (Eds.), Business Process Management (pp. 125-141). (Lecture Notes in Computer Science, No. 9850). Berlin: Springer. Scopus.
- Mannhardt, F., De Leoni, M., Reijers, H.A. & van der Aalst, W.M.P. (2016). Measuring the precision of multi-perspective process models. Business Process Management Workshops (BPM 2015 International Workshops)
- Rekik, M., Boukadi, K., Assy, N., Gaaloul, W. & Ben-Abdallah, H. (2016). A linear program for optimal configurable business processes deployment into cloud federation. In X. Xu, J.A. Miller & J. Zhang (Eds.), IEEE International Conference on Services Computing, SCC 2016, San Francisco, CA, USA, June 27 - July 2, 2016 (pp. 34-41). IEEE. Scopus.
- Senderovich, A., Leemans, S,J.J., Harel, S., Gal, A., Mandelbaum, A. & van der Aalst, W.M.P. (2016). Discovering queues from event logs with varying levels of information. In M. Reichert & H.A. Reijers (Eds.), Business Process Management Workshops (pp. 154-166). (Lecture Notes in Business Information Processing, No. 256). Dordrecht: Springer. Scopus.
- Syamsiyah, A., van Dongen, B.F. & van der Aalst, W.M.P. (2016). DB-XES : enabling process discovery in the large. Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2016), Graz, Austria, December 15-16, 2016 (pp. 63-77).
- Syamsiyah, A., van Dongen, B.F. & van der Aalst, W.M.P. (2016). Accelerating process mining using relational databases. Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2016), Graz, Austria, December 15-16, 2016 (pp. 137-141).
- Tax, N., Alasgarov, E., Sidorova, N. & Haakma, R. (2016). On generation of time-based label refinements. Proceedings of the 25th International Workshop on Concurrency, Specification and Programming, 28-30 September 2016, Rostock, Germany. Scopus.
- Tax, N., Sidorova, N., van der Aalst, W.M.P. & Haakma, R. (2016). Heuristic approaches for generating local process models through log projections. Proceedings of IEEE Symposium on Computational Intelligence and Data Mining, December 6-9, 2016, Athens, Greece
- Tax, N., Sidorova, N., Haakma, R. & van der Aalst, W.M.P. (2016). Event abstraction for process mining using supervised learning techniques. Proceedings of the SAI Intelligent Systems Conference (IntelliSys 2016), 21-22 September 2016, London, United Kingdom (pp. 1-10).
- Vázquez-Barreiros, B., van Zelst, S.J., Buijs, J.C.A.M., Lama, M. & Mucientes, M. (2016). Repairing alignments : striking the right nerve. In I. Bider, S. Guerreiro, W. Guédria & R. Schmidt (Eds.), Enterprise, Business-Process and Information Systems Modeling (pp. 266-281). (Lecture Notes in Business Information Processing, No. 248). Dordrecht: Springer. Scopus.
- Verbeek, H.M.W. (2016). Decomposed replay using hiding and reduction. In L. Cabac, L.M. Kristensen & H. Rölke (Eds.), PNSE 2016 : International Workshop on Petri Nets and Software Engineering. 20-21 June 2016, Torun, Poland (pp. 533-552). (CEUR-WS, No. 1591). s.l.: CEUR-WS.org. Scopus.
- Verbeek, H.M.W. & van der Aalst, W.M.P. (2016). Merging alignments for decomposed replay. In F. Kordon & D. Moldt (eds.), Application and Theory of Petri Nets and Concurrency (pp. 219-239). (Lecture Notes in Computer Science, No. 9698). Berlin: Springer.
- van Zelst, S.J., van Dongen, B.F. & van der Aalst, W.M.P. (2016). Online discovery of cooperative structures in business processes. In E. Kühn, T. Dillon, H. Panetto, C. Agostino Ardagna, R. Meersman, D. O'Sullivan & C. Debruyne (Eds.), On the Move to Meaningful Internet Systems: OTM 2016 Conferences (pp. 210-228). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), No. 10033 LNCS). Dordrecht: Springer. Scopus.
Abstract
Other research output
Report
Scientific
- Firat, M., Dellaert, N.P. & Nuijten, W.P.M. (2016). Solving routing problems by exploiting the dual of a master LP formulation. (BETA publicatie : working papers, No. 514). Eindhoven: Technische Universiteit Eindhoven, 20 pp
- Mannhardt, F., de Leoni, M., Reijers, H.A. & van der Aalst, W.M.P. (2016). Decision Mining Revisited – Discovering Overlapping Rules. (BPM Center Report, No. 16-01). BPMcenter.org, 16 pp. Scopus.
- Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P. & Toussaint, P.J. (2016). From low-level events to activities - A pattern-based approach. (BPM Center Report, No. 16-02). BPMcenter.org, 18 pp.
- Verbeek, H.M.W., van der Aalst, W.M.P. & Munoz-Gama, J. (2016). Divide and conquer. (BPM Center Report, No. 16-06). BPMcenter.org, 27 pp.
- Verbeek, H.M.W. & Mannhardt, F. (2016). The DrFurby Classifier submission to the Process Discovery Contest @ BPM 2016. (BPM Center Report, No. 16-08). BPMcenter.org, 18 pp.
Phd Thesis 1 (Research TU/e / Graduation TU/e)
Scientific
- Schunselaar, D.M.M. (2016). Configurable process trees : elicitation, analysis, and enactment. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst, Hajo Reijers & Eric Verbeek).
Other contribution
Other research output
2015
Article
Scientific peer reviewed
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Adriansyah, Arya, Munoz Gama, Jorge, Carmona, J., van Dongen, Boudewijn & van der Aalst, Wil (2015). Measuring precision of modeled behavior. Information Systems and e-Business Management, 13(1), 37-67.
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Claes, Jan, Vanderfeesten, Irene, Pinggera, J., Reijers, Hajo, Weber, B. & Poels, G. (2015). A visual analysis of the process of process modeling. Information Systems and e-Business Management, 13(1), 147-190.
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Conforti, R., de Leoni, Massimiliano, La Rosa, M., van der Aalst, Wil & ter Hofstede, Arthur (2015). A recommendation system for predicting risks across multiple business process instances. Decision Support Systems, 69, 1-19.
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de Leoni, Massimiliano, Maggi, Fabrizio & van der Aalst, Wil (2015). An alignment-based framework to check the conformance of declarative process models and to preprocess event-log data. Information Systems, 47(1), 258-277.
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Fahland, Dirk & van der Aalst, Wil (2015). Model repair - aligning process models to reality. Information Systems, 47, 220-243.
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Favre, C., Fahland, Dirk & Völzer, H. (2015). The relationship between workflow graphs and free-choice workflow nets. Information Systems, 47, 197-219.
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Kocielnik, Rafal & Sidorova, Natalia (2015). Personalized stress management : enabling stress monitoring with LifelogExplorer. KI - Künstliche Intelligenz, 29(2), 115-122.
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Koschmider, A. & Reijers, Hajo (2015). Improving the process of process modelling by the use of domain process patterns. Enterprise Information Systems, 9(1), 29-57.
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Lu, Xixi, Nagelkerke, M., Wiel, van de, D. & Fahland, Dirk (2015). Discovering interacting artifacts from ERP systems. IEEE Transactions on Services Computing, 8(6), 861-873.
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Ly, L.T., Maggi, Fabrizio, Montali, M., Rinderle-Ma, S. & van der Aalst, Wil (2015). Compliance monitoring in business processes : functionalities, application, and tool-support. Information Systems, 54, 209-234.
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Meyer, A., Pufahl, L., Batoulis, K., Fahland, Dirk & Weske, M.H. (2015). Automating data exchange in process choreographies. Information Systems, 53, 296-329.
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Moreno-Montes de Oca, I., Snoeck, M., Reijers, Hajo & Rodríguez-Morffi, A. (2015). A systematic literature review of studies on business process modeling quality. Information and Software Technology, 58, 187-205.
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Pinggera, J., Soffer, P., Fahland, Dirk, Weidlich, M., Zugal, S., Weber, B., Reijers, Hajo & Mendling, J. (2015). Styles in business process modeling: an exploration and a model. Software and Systems Modeling, 14(3), 1055-1080.
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Rovani, M., Maggi, Fabrizio, de Leoni, Massimiliano, van der Aalst, Wil, Mans, Ronny & Pepino, A. (2015). Declarative process mining in healthcare. Expert Systems with Applications, 42(23), 9236-9251.
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Suriadi, S., Ouyang, C., van der Aalst, Wil & ter Hofstede, Arthur (2015). Event interval analysis : Why do processes take time?. Decision Support Systems, 79, 77-98.
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Tax, Niek, Bockting, S. & Hiemstra, D. (2015). A cross-benchmark comparison of 87 learning to rank methods. Information Processing & Management, 51(6), 757-772.
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van der Aalst, Wil (2015). Business process management as the "Killer App" for Petri nets. Software and Systems Modeling, 14(2), 685-691.
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Vanwersch, Rob, Shahzad, K., Vanderfeesten, Irene, Vanhaecht, K., Grefen, Paul, Pintelon, L.M., Mendling, J., Merode, van, G.G. & Reijers, Hajo (2015). A Critical Evaluation and Framework of Business Process Improvement Methods. Business & Information Systems Engineering : The International Journal of WIRTSCHAFTSINFORMATIK, 2015(6), 1-11.
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Verdouw, C.N., Beulens, A.J.M., Reijers, Hajo & Vorst, van der, J.G.A.J. (2015). A control model for object virtualization in supply chain management. Computers in Industry, 68, 116-131.
Scientific not peer reviewed
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van der Aalst, Wil, Zhao, J.L. & Wang, H. (2015). Editorial: "Business process intelligence : connecting data and processes". ACM Transactions on Management Information Systems, 5(4), 18e-1/7.
Chapter
Scientific peer reviewed
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van der Aalst, Wil (2015). Viewing the internet of events through a process lens. In L. Fischer (Ed.), BPM everywhere (pp. 213-221). (BPM and workflow handbook series). Lighthouse Point: Future Strategies.
Scientific not peer reviewed
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Reijers, Hajo, Mendling, J. & Recker, J. (2015). Business process quality management. In M. Rosemann & J. Brocke, vom (Eds.), Handbook on Business Process Management 1 (pp. 167-185). (International Handbooks on Information Systems). Berlin: Springer.
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van der Aalst, Wil (2015). Business process simulation survival guide. In M. Rosemann & J. Brocke, vom (Eds.), Handbook on Business Process Management 1 second ed. (pp. 337-370). (International Handbooks on Information Systems). Berlin: Springer.
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van der Aalst, Wil, La Rosa, M., ter Hofstede, Arthur & Wynn, M.T. (2015). Liquid business process model collections. In D. Gianni, A. Tolk & A. D'Ambrogio (Eds.), Modeling and Simulation-Based Systems Engineering Handbook (pp. 401-423). (Engineering Management Book Series). Boca Raton: CRC Press.
Conference Contribution
Scientific peer reviewed
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Bolt Iriondo, Alfredo José & van der Aalst, Wil (2015). Multidimensional process mining using process cubes. In K. Gaalouli, 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. 102-116). (Lecture Notes in Business Information Processing, No. 214). Berlin: Springer.
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Di Ciccio, C., Schouten, M.H.M., de Leoni, Massimiliano & Mendling, J. (2015). Declarative process discovery with MINERful in ProM. 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. 60-64). (CEUR Workshop Proceedings, No. 1418). Technische Universiteit Eindhoven.
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Emens, R.D., Vanderfeesten, Irene & Reijers, Hajo (2015). The dynamic visualization of business process models : a prototype and evaluation. Proceedings of the 4th International Workshop on Theory and Application of Visualizations and Human-centric Aspects in Processes (TAProViz 2015) @BPM 2015, 31 august 2015, Innsbruck, Austria (Lecture Notes in Business Information Processing). Springer.
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Gonzalez Lopez de Murillas, Eduardo, van der Aalst, Wil & Reijers, Hajo (2015). Process mining on databases: Unearthing historical data from redo logs. 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. 367-385). (Lecture Notes in Computer Science, No. 9253). Cham: Springer.
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Gulden, J. & Reijers, Hajo (2015). Toward advanced visualization techniques for conceptual modeling. 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. 33-40). (CEUR Workshop Proceedings, No. 1367). Aachen: CEUR-WS.org.
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Hernández, S., van Zelst, Bas, Ezpeleta, J. & van der Aalst, Wil (2015). Handling big(ger) logs : connecting ProM 6 to Apache Hadoop. 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. 80-84). (CEUR Workshop Proceedings, No. 1418). Technische Universiteit Eindhoven.
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Ivanov, S.Y., Kalenkova, A.A. & van der Aalst, Wil (2015). BPMNDiffViz : a tool for BPMN models comparison. 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. 35-39). (CEUR Workshop Proceedings, No. 1418). Technische Universiteit Eindhoven.
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Jalali, A., Maggi, Fabrizio & Reijers, Hajo (2015). Enhancing aspect-oriented business process modeling with declarative rules. In P. Johannesson, M.L. Lee, Ó. Pastor López, A.L. Opdahl & S.W. Liddle (Eds.), Conceptual Modeling (34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015) (pp. 108-115). (Lecture Notes in Computer Science, No. 9381). Berlin: Springer.
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Leemans, Sander (2015). Process discovery and exploration. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 582-585). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.
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Leemans, Sander, Fahland, Dirk & van der Aalst, Wil (2015). Exploring processes and deviations. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 304-316). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.
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Leemans, Sander, Fahland, Dirk & van der Aalst, Wil (2015). Scalable process discovery with guarantees. 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. 85-101). (Lecture Notes in Business Information Processing, No. 214). Berlin: Springer.
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Lu, Xixi, Fahland, Dirk & van der Aalst, Wil (2015). Conformance checking based on partially ordered event data. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 75-88). (Lecture Notes in Business Information Processing, No. 202). Berlin: Springer.
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Mannhardt, Felix, de Leoni, Massimiliano & Reijers, Hajo (2015). Extending process logs with events from supplementary sources. In J. Mendling & F. Fournier (Eds.), Business Process Management Workshops (BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers) (pp. 235-247). (202). Berlin: Springer.
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Mannhardt, Felix, de Leoni, Massimiliano & Reijers, Hajo (2015). The Multi-perspective Process Explorer. 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. 130-134). (CEUR Workshop Proceedings, No. 1418). Technische Universiteit Eindhoven.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
Book
Scientific
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(2015). Process mining in healthcare. (SpringerBriefs in Business Process Management,). Cham: Springer, 91 pp.
Report
Scientific
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(2015). Scientific workflows for process mining : building blocks, scenarios, and implementation. (BPM reports, No. 1503). BPMcenter.org, 21 pp.
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(2015). BPMNDiffViz : a tool for BPMN models comparison. (BPM reports, No. 1507). BPMcenter.org, 5 pp.
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(2015). Process mining using BPMN : relating event logs and process models. (BPM reports, No. 1501). BPMcenter.org, 0 pp.
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(2015). Discovering interacting artifacts from ERP systems (extended version). (BPM reports, No. 1508). BPMcenter.org, 63 pp.
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(2015). Exploring students’ learning behaviour in MOOCs using process mining techniques. (BPM reports, No. 1510). BPMcenter.org, 26 pp.
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(2015). Uncovering learning patterns in a MOOC through conformance alignments. (BPM reports, No. 1509). BPMcenter.org, 20 pp.
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(2015). A structural model comparison for finding the best performing models in a collection. (BPM reports, No. 1505). BPMcenter.org, 16 pp.
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(2015). Relational XES : data management for process mining. (BPM reports, No. 1502). BPMcenter.org, 8 pp.
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(2015). Filter techniques for region-based process discovery. (BPM reports, No. 1504). BPMcenter.org, 21 pp.
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(2015). How suitable is the RePro technique for rethinking care processes?. (BETA publicatie : working papers, No. 468). Eindhoven: Technische Universiteit Eindhoven, 17 pp.