Sebastiaan van Zelst

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Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Boudewijn van DongenProfessor of Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
MohammadReza Fani SaniPhD candidateVerified email at pads.rwth-aachen.de
Alessandro BertiPADS RWTHVerified email at pads.rwth-aachen.de
Alfredo José Bolt IriondoUniversidad Finis TerraeVerified email at uft.cl
Xixi LuAssistant Professor at Utrecht UniversityVerified email at uu.nl
Niek TaxMetaVerified email at meta.com
Marwan HassaniAssistant Professor of Computer Science at Eindhoven University of TechnologyVerified email at tue.nl
Eric VerbeekScientific Engineer, Eindhoven University of TechnologyVerified email at tue.nl
Andrea BurattinTechnical University of DenmarkVerified email at dtu.dk
Irene TeinemaaDeepMindVerified email at deepmind.com
Alireza OstovarDecisionsVerified email at decisions.com
Raffaele ConfortiDirector of Process Mining at DecisionsVerified email at decisions.com
Marcello La RosaProfessor at University of Melbourne | Chief Executive Officer at ApromoreVerified email at unimelb.edu.au
Jaco van de PolProfessor of Computer Science, Aarhus UniversityVerified email at cs.au.dk
Ezpeleta JoaquínZaragozaVerified email at unizar.es
Borja Vázquez BarreirosPhD, Alumni from CiTIUS, Universidade de Santiago de Compostela (USC)Verified email at usc.es
Manuel MucientesUniversity of Santiago de Compostela (Spain)Verified email at usc.es
Manuel LamaCiTIUS, University of Santiago de CompostelaVerified email at usc.es
Joos Buijsformer Assistant professor, Eindhoven University of TechnologyVerified email at tue.nl

Sebastiaan van Zelst

Celonis

Verified email at celonis.com - Homepage

Process Mining Data Mining Artificial Intelligence


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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	337	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	165	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	119	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	98	2018
Event stream-based process discovery using abstract representations SJ van Zelst, BF van Dongen, WMP van der Aalst Knowledge and Information Systems, 2017	88	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	77	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	76	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	73	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	72	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	66	2020
PM4Py: A process mining library for Python A Berti, S van Zelst, D Schuster Software Impacts 17, 100556, 2023	51	2023
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	51	2018
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	50	2018
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
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	48	2022
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	47	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	47	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
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	43	2020
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	40	2021

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