Sebastiaan van Zelst

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	All	Since 2015
Citations	534	533
h-index	14	14
i10-index	19	19

240

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180

2015201620172018201920205 25 38 96 129 233

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Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified 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
Alfredo BoltEindhoven University of TechnologyVerified email at tue.nl
Alessandro BertiPADS RWTHVerified email at pads.rwth-aachen.de
Marwan HassaniAssistant Professor of Computer Science at TU/eVerified email at tue.nl
Eric VerbeekScientific Engineer, Eindhoven University of TechnologyVerified email at tue.nl
Niek TaxBooking.comVerified email at booking.com
Andrea BurattinAssociate Professor, Technical University of DenmarkVerified email at dtu.dk
Ezpeleta JoaquínZaragozaVerified email at unizar.es
Irene TeinemaaData Scientist at Booking.comVerified email at booking.com
Alireza OstovarProcess DiamondVerified email at processdiamond.com
Raffaele ConfortiDirector & Co-founder of Process DiamondVerified email at processdiamond.com
Marcello La RosaSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
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
Jaco van de PolProfessor of Computer Science, Aarhus UniversityVerified email at cs.au.dk
Josep CarmonaAssociate Professor, Universitat Politècnica de CatalunyaVerified email at cs.upc.edu

Sebastiaan van Zelst

Fraunhofer FIT | RWTH Aachen University

Verified email at fit.fraunhofer.de - Homepage

Process Mining Data Mining Artificial Intelligence


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RapidProM: mine your processes and not just your data WMP van der Aalst, A Bolt, SJ van Zelst arXiv preprint arXiv:1703.03740, 2017	46	2017
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	45	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 (3), 269-284, 2019	43	2019
Event stream-based process discovery using abstract representations SJ van Zelst, BF van Dongen, WMP van der Aalst Knowledge and Information Systems, 2017	34	2017
Discovering workflow nets using integer linear programming SJ van Zelst, BF van Dongen, WMP van der Aalst, HMW Verbeek Computing 100 (5), 529-556, 2018	31	2018
Avoiding over-fitting in ILP-based process discovery SJ van Zelst, BF van Dongen, WMP van der Aalst International conference on business process management, 163-171, 2016	30	2016
Improving process discovery results by filtering outliers using conditional behavioural probabilities MF Sani, SJ van Zelst, WMP van der Aalst International Conference on Business Process Management, 216-229, 2017	29	2017
ILP-Based Process Discovery Using Hybrid Regions. SJ van Zelst, BF van Dongen, WMP van der Aalst ATAED@ petri nets/ACSD, 47-61, 2015	24	2015
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	19	2015
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	18	2020
Online conformance checking using behavioural patterns A Burattin, SJ van Zelst, A Armas-Cervantes, BF van Dongen, J Carmona International Conference on Business Process Management, 250-267, 2018	18	2018
Automated robotic process automation: A self-learning approach J Gao, SJ van Zelst, X Lu, WMP van der Aalst OTM Confederated International Conferences" On the Move to Meaningful …, 2019	15	2019
Repairing outlier behaviour in event logs MF Sani, SJ van Zelst, WMP van der Aalst International Conference on Business Information Systems, 115-131, 2018	14	2018
Filtering spurious events from event streams of business processes SJ van Zelst, MF Sani, A Ostovar, R Conforti, M La Rosa International Conference on Advanced Information Systems Engineering, 35-52, 2018	14	2018
Scenario-based prediction of business processes using system dynamics M Pourbafrani, SJ van Zelst, WMP van der Aalst OTM Confederated International Conferences" On the Move to Meaningful …, 2019	12	2019
Data Streams in ProM 6: A Single-node Architecture. SJ van Zelst, A Burattin, BF van Dongen, HMW Verbeek BPM (Demos), 81, 2014	11	2014
Applying sequence mining for outlier detection in process mining MF Sani, SJ van Zelst, WMP van der Aalst OTM Confederated International Conferences" On the Move to Meaningful …, 2018	10	2018
Tuning Alignment Computation: An Experimental Evaluation SJ van Zelst, A Bolt, BF van Dongen ATAED, 2017	10	2017
Know What You Stream: Generating Event Streams from CPN Models in ProM 6. SJ van Zelst, BF van Dongen, WMP van der Aalst BPM (Demos), 85-89, 2015	10	2015
The impact of event log subset selection on the performance of process discovery algorithms MF Sani, SJ van Zelst, WMP van der Aalst European Conference on Advances in Databases and Information Systems, 391-404, 2019	9	2019

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