| 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 | 364 | 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 | 181 | 2021 |
| 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 | 130 | 2019 |
| 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 | 102 | 2018 |
| Event stream-based process discovery using abstract representations SJ van Zelst, BF van Dongen, WMP van der Aalst Knowledge and Information Systems, 2017 | 94 | 2017 |
| PM4Py: A process mining library for Python A Berti, S van Zelst, D Schuster Software Impacts 17, 100556, 2023 | 88 | 2023 |
| Discovering workflow nets using integer linear programming SJ van Zelst, BF van Dongen, WMP van der Aalst, HMW Verbeek Computing 100, 529-556, 2018 | 80 | 2018 |
| 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 | 78 | 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 | 78 | 2017 |
| 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 | 76 | 2019 |
| An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling 19 (6), 1345-1365, 2020 | 71 | 2020 |
| Utilizing domain knowledge in data-driven process discovery: A literature review D Schuster, SJ van Zelst, WMP van der Aalst Computers in Industry 137, 103612, 2022 | 56 | 2022 |
| 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 | 55 | 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 | 53 | 2020 |
| 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 | 53 | 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 | 50 | 2020 |
| 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 | 50 | 2015 |
| 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 | 49 | 2018 |
| ILP-Based Process Discovery Using Hybrid Regions. SJ van Zelst, BF van Dongen, WMP van der Aalst ATAED@ petri nets/ACSD, 47-61, 2015 | 44 | 2015 |
| A framework for explainable concept drift detection in process mining JN Adams, SJ van Zelst, L Quack, K Hausmann, WMP van der Aalst, ... Business Process Management: 19th International Conference, BPM 2021, Rome …, 2021 | 42 | 2021 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/e確認したメール アドレス: pads.rwth-aachen.de