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Sebastiaan van Zelst
Sebastiaan van Zelst
Celonis
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Title
Cited by
Cited by
Year
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
3582019
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
1802021
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
1262019
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
1002018
Event stream-based process discovery using abstract representations
SJ van Zelst, BF van Dongen, WMP van der Aalst
Knowledge and Information Systems, 2017
932017
PM4Py: A process mining library for Python
A Berti, S van Zelst, D Schuster
Software Impacts 17, 100556, 2023
832023
Discovering workflow nets using integer linear programming
SJ van Zelst, BF van Dongen, WMP van der Aalst, HMW Verbeek
Computing 100, 529-556, 2018
802018
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
772018
RapidProM: mine your processes and not just your data
WMP van der Aalst, A Bolt, SJ van Zelst
arXiv preprint arXiv:1703.03740, 2017
772017
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
742019
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
692020
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
552022
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
532018
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
532018
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
512020
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
502015
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
482018
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
472020
ILP-Based Process Discovery Using Hybrid Regions.
SJ van Zelst, BF van Dongen, WMP van der Aalst
ATAED@ petri nets/ACSD, 47-61, 2015
442015
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
422021
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