Sebastiaan van Zelst
Sebastiaan van Zelst
Fraunhofer FIT | RWTH Aachen University
Verified email at fit.fraunhofer.de - Homepage
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
602019
RapidProM: mine your processes and not just your data
WMP van der Aalst, A Bolt, SJ van Zelst
arXiv preprint arXiv:1703.03740, 2017
472017
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
452019
Event stream-based process discovery using abstract representations
SJ van Zelst, BF van Dongen, WMP van der Aalst
Knowledge and Information Systems, 2017
362017
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
332017
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
332016
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
312018
ILP-Based Process Discovery Using Hybrid Regions.
SJ van Zelst, BF van Dongen, WMP van der Aalst
ATAED@ petri nets/ACSD, 47-61, 2015
242015
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
212018
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
212015
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
202020
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
202019
Repairing outlier behaviour in event logs
MF Sani, SJ van Zelst, WMP van der Aalst
International Conference on Business Information Systems, 115-131, 2018
162018
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
152018
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
132019
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
112018
Tuning Alignment Computation: An Experimental Evaluation
SJ van Zelst, A Bolt, BF van Dongen
ATAED, 2017
112017
Data Streams in ProM 6: A Single-node Architecture.
SJ van Zelst, A Burattin, BF van Dongen, HMW Verbeek
BPM (Demos), 81, 2014
112014
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
102019
Assessing process discovery scalability in data intensive environments
S Hernández, J Ezpeleta, SJ van Zelst, WMP van der Aalst
2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC), 99-104, 2015
102015
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