| Process mining for python (PM4Py): bridging the gap between process-and data science A Berti, SJ Van Zelst, W van der Aalst arXiv preprint arXiv:1905.06169, 2019 | 226 | 2019 |
| Online conformance checking: relating event streams to process models using prefix-alignments SJ van Zelst, A Bolt, M Hassani, BF van Dongen, WMP van der Aalst International Journal of Data Science and Analytics 8, 269-284, 2019 | 90 | 2019 |
| Event abstraction in process mining: literature review and taxonomy SJ van Zelst, F Mannhardt, M de Leoni, A Koschmider Granular Computing 6, 719-736, 2021 | 85 | 2021 |
| Improving process discovery results by filtering outliers using conditional behavioural probabilities MF Sani, SJ van Zelst, WMP van der Aalst Business Process Management Workshops: BPM 2017 International Workshops …, 2018 | 75 | 2018 |
| Event stream-based process discovery using abstract representations SJ van Zelst, BF van Dongen, WMP van der Aalst Knowledge and Information Systems, 2017 | 75 | 2017 |
| Discovering workflow nets using integer linear programming SJ van Zelst, BF van Dongen, WMP van der Aalst, HMW Verbeek Computing 100, 529-556, 2018 | 68 | 2018 |
| RapidProM: mine your processes and not just your data WMP van der Aalst, A Bolt, SJ van Zelst arXiv preprint arXiv:1703.03740, 2017 | 68 | 2017 |
| Online conformance checking using behavioural patterns A Burattin, SJ van Zelst, A Armas-Cervantes, BF van Dongen, J Carmona Business Process Management: 16th International Conference, BPM 2018, Sydney …, 2018 | 55 | 2018 |
| Automated robotic process automation: A self-learning approach J Gao, SJ van Zelst, X Lu, WMP van der Aalst On the Move to Meaningful Internet Systems: OTM 2019 Conferences …, 2019 | 52 | 2019 |
| Avoiding over-fitting in ILP-based process discovery SJ van Zelst, BF van Dongen, WMP van der Aalst Business Process Management: 13th International Conference, BPM 2015 …, 2015 | 48 | 2015 |
| An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling 19, 1345-1365, 2020 | 46 | 2020 |
| ILP-Based Process Discovery Using Hybrid Regions. SJ van Zelst, BF van Dongen, WMP van der Aalst ATAED@ petri nets/ACSD, 47-61, 2015 | 37 | 2015 |
| Filtering spurious events from event streams of business processes SJ van Zelst, M Fani Sani, A Ostovar, R Conforti, M La Rosa Advanced Information Systems Engineering: 30th International Conference …, 2018 | 35 | 2018 |
| Conformance checking approximation using subset selection and edit distance M Fani Sani, SJ van Zelst, WMP van der Aalst Advanced Information Systems Engineering: 32nd International Conference …, 2020 | 34 | 2020 |
| Repairing outlier behaviour in event logs M Fani Sani, SJ van Zelst, WMP van der Aalst Business Information Systems: 21st International Conference, BIS 2018 …, 2018 | 33 | 2018 |
| Scenario-based prediction of business processes using system dynamics M Pourbafrani, SJ van Zelst, WMP van der Aalst On the Move to Meaningful Internet Systems: OTM 2019 Conferences …, 2019 | 31 | 2019 |
| Applying sequence mining for outlier detection in process mining M Fani Sani, SJ van Zelst, WMP van der Aalst On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018 | 31 | 2018 |
| Supporting automatic system dynamics model generation for simulation in the context of process mining M Pourbafrani, SJ van Zelst, WMP van der Aalst Business Information Systems: 23rd International Conference, BIS 2020 …, 2020 | 29 | 2020 |
| Handling big (ger) logs: Connecting prom 6 to apache hadoop S Hernández, WMP Van der Aalst, SJ Van Zelst, J Ezpeleta CEUR workshop proc., 2015 | 24 | 2015 |
| Cortado—an interactive tool for data-driven process discovery and modeling D Schuster, SJ van Zelst, WMP van der Aalst Application and Theory of Petri Nets and Concurrency: 42nd International …, 2021 | 21 | 2021 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
