Native directly follows operator

Syamsiyah, A., Dongen, B. F. van, & Dijkman, R. M. (2018). Native directly follows operator. arXiv. Abstract Typical legacy information systems store data in relational databases. Process mining is a research discipline that analyzes this data to obtain insights into processes. Many different process mining techniques can be applied to data. In current techniques, an Read More …

Efficiently computing alignments : using the extended marking equation

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), Read More …

Online conformance checking using behavioural patterns

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 Read More …

Maximizing synchronization for aligning observed and modelled behaviour

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 Read More …

A native operator for process discovery

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 Read More …

Component interface identification and behavioral model discovery from software execution data

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 Abstract Restructuring an object-oriented software system into a component-based Read More …

A framework to support behavioral design pattern detection from software execution data

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.. Abstract The detection of design Read More …

Similarity resonance for improving process model matching accuracy

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. Abstract Comparing and matching process models is a common task in many process Read More …

DB-XES : Enabling process discovery in the large

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. Abstract Dealing with Read More …

Recurrent process mining with live event data

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. Abstract In organizations, process mining activities are typically performed in Read More …

A general framework to detect behavioral design patterns

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. Abstract This paper presents a general framework to detect behavioral design patterns by combining source code and execution data. The framework Read More …

Event stream-based process discovery using abstract representations

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. Abstract The aim of process discovery, originating from the area of process mining, is to discover a process model based on business process execution data. A majority of process discovery Read More …

Discovering workflow nets using integer linear programming

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. Abstract Process mining is concerned with the analysis, understanding and improvement of business processes. Process discovery, i.e. discovering a process model based on an event log, is considered the most challenging Read More …

Publications in 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 Read More …

Publications in 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, Read More …

Publications in 2015

Article Scientific peer reviewed 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. Claes, Jan, Vanderfeesten, Irene, Pinggera, J., Reijers, Hajo, Weber, B. & Poels, G. (2015). A visual analysis of the process of process modeling. Read More …