Publications

Note: This page lists my peer-reviewed publications. I try to keep this page updated, however, for reference, you can check my Google Scholar and/or dblp page.

2023

Partial-Order-Based Process Mining: A Survey and Outlook
Sander J.J. Leemans, Sebastiaan J. van Zelst, Xixi Lu
Knowledge and Information Systems; Springer (Journal)

Explainable concept drift in process mining
Jan Niklas Adams, Sebastiaan J. van Zelst, Thomas Rose, Wil M.P. van der Aalst
Information Systems; Elsevier (Journal)

Performance-preserving event log sampling for predictive monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Journal of Intelligent Information Systems; Elsevier (Journal)

PM4Py: A process mining library for Python
Alessandro Berti, Sebastiaan J. van Zelst, Daniel Schuster
Software Impacts (Journal)

Cortado: A dedicated process mining tool for interactive process discovery
Daniel Schuster, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
SoftwareX; Elsevier (Journal)

Context-Based Activity Label-Splitting
Sebastiaan van Zelst, Jonas Tai, Moritz Langenberg, Xixi Lu
BPM 2023 (Conference)

POWL: Partially Ordered Workflow Language
Humam Kourani, Sebastiaan J. van Zelst
BPM 2023 (Conference)
Awarded with the “BPM 2023 Best Paper Award

Event Abstraction for Partial Order Patterns
Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
BPM 2023 (Conference)

Incremental Discovery of Process Models Using Trace Fragments
Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
BPM 2023 (Conference)

Event Data-Driven Feasibility Checking of Process Schedules
Hannes Häfke, Sebastiaan J. van Zelst
CAiSE 2023 (Conference)

2022

Mining context-aware resource profiles in the presence of multitasking
Gerhardus van Hulzen, Chiao-Yun Li, Niels Martin, Sebastiaan J. van Zelst, Benoît Depaire
Artificial Intelligence in Medicine; Elsevier (Journal)

Utilizing domain knowledge in data-driven process discovery: A literature review
Daniel Schuster, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Computers in Industry; Elsevier (Journal)

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data
Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
ICSOC 2022 (Conference)

Cache Enhanced Split-Point-Based Alignment Calculation
Tian Li, Sebastiaan J. van Zelst
ICPM 2022 (Conference)

Enhanced Transformation of BPMN Models with Cancellation Features
Giorgi Lomidze, Daniel Schuster, Chiao-Yun Li, Sebastiaan J. van Zelst
EDOC 2022 (Conference)
Awarded with the “EDOC 2022 Best Paper Award

Conformance Checking for Trace Fragments Using Infix- and Postfix-Alignments
Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
COOPIS 2022 (Conference)

A Generic Trace Ordering Framework for Incremental Process Discovery
Daniel Schuster, Emanuel Domnitsch, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
International Symposium on Intelligent Data Analysis 2022 (Conference)

Temporal Performance Analysis for Block-Structured Process Models in Cortado
Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
CAiSE Forum 2022 (Conference)

Mining for Long-Term Dependencies in Causal Graphs
Humam Kourani, Sebastiaan van Zelst, Chiara Di Francescomarino, Chiara Ghidini and Wil van der Aalst
Business Process Intelligence 2022 (Workshop)

2021

The Impact of Biased Sampling of Event Logs on the Performance of Process Discovery
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Computing; Springer Nature (Journal)

An Activity Instance Based Hierarchical Framework for Event Abstraction
Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
ICPM 2021; (Conference)

Freezing Sub-Models During Incremental Process Discovery
Daniel Schuster, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
ER 2021; (Conference)

A Framework for Explainable Concept Drift Detection in Process Mining
Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack, Kathrin Hausmann, Wil M. P. van der Aalst, Thomas Rose
Business Process Management 2021; Springer LNCS (Conference)

Cortado – An Interactive Tool for Data-Driven Process Discovery and Modeling
Daniel Schuster, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Petri Nets 2021; Springer LNCS (Conference)

Visualizing Trace Variants From Partially Ordered Event Data
Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
EDBA 2021 (Workshop)
Awarded with the “EDBA 2021 Best Paper Award”

Event Log Sampling for Predictive Monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
ML4PM 2021; (Workshop)

Demystifying Noise and Outliers in Event Logs: Review and Future Directions
Agnes Koschmider, Kay Kaczmarek, Mathias Krause, Sebastiaan J. van Zelst
BPI 2021; (Workshop)

Data-Driven Process Performance Measurement and Prediction: A Process-Tree-Based Approach
Sebastiaan J. van Zelst, Luis F.R. Santos, Wil M.P. van der Aalst
CAiSE Forum 2021; Springer LNBIP (Workshop)

2020

Translating Workflow Nets to Process Trees: An Algorithmic Approach
Sebastiaan J. van Zelst, Sander J.J. Leemans
Algorithms; MDPI (Journal)

Improving the Performance of Process Discovery Algorithms by Instance Selection
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Computer Science and Information Systems; ComSIS (Journal)

Event Abstraction in Process Mining: Literature Review and Taxonomy
Sebastiaan J. van Zelst, Felix Mannhardt, Massimiliano de Leoni, Agnes Koschmider
Granular Computing; Springer (Journal)

An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction
Niek Tax, Irene Teinemaa, Sebastiaan J. van Zelst
Software and Systems Modeling; Springer (Journal)

Conformance Checking Approximation Using Simulation
Mohammadreza Fani Sani, Juan J. Garza Gonzalez, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
2nd International Conference on Process Mining; ICPM 2020 (Conference)

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity
Sander J.J. Leemans, Kanika Goel, Sebastiaan J. van Zelst
2nd International Conference on Process Mining; ICPM 2020 (Conference)

Semi-Automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics
Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
39th International Conference on Conceptual Modeling (ER2020) (Conference)

Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm
Daniel Schuster, Sebastiaan J. van Zelst
18th Int. Conference on Business Process Management (BPM 2020) (Conference)

Conformance Checking Approximation using SubsetSelection and Edit Distance
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Advanced Information Systems Engineering – 32nd International Conference, CAiSE 2020, Grenoble, France, June 8-12, 2018, Proceedings. (Conference).

Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining
Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
International Conference on Business Information Systems (Conference)

Supporting Decisions in Production Line Processes by Combining Process Mining and System Dynamics
Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
International Conference on Intelligent Human Systems Integration, 461-467 (Conference).

Incremental Discovery of Hierarchical Process Models
Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
The 14th International Conference on Research Challenges in Information Science (Conference).

Stage-Based Process Performance Analysis
Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
1st International Workshop on AI-Enabeld Process Automation (AI-PA 2020) (Workshop)

Alignment Approximation for Process Trees
Daniel Schuster, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2020) (Workshop)

Process Model Discovery from Sensor Event Data
Dominik Janssen, Felix Mannhardt, Agnes Koschmider and Sebastiaan J. van Zelst
1st International Workshop on Event Data and Behavioral Analytics (EdbA 2020) (Workshop)

A Generic Framework for Attribute-Driven Hierarchical Trace Clustering
Sebastiaan J. van Zelst, Yukun Cao
16th Int. Workshop on Business Process Intelligence (BPI 2020) (Workshop)

Process Mining for Production Processes in the Automotive Industry
Merih Seran Uysal, Sebastiaan J. van Zelst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Ruben Schumacher, Sebastian Junglas, Guenther Schuh and Wil M.P. van der Aalst
Industry Track of BPM 2020 (Workshop)

2019

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Enterprise Modelling and Information Systems Architectures/International Journal of Conceptual Modeling (Journal).

Aligning Observed and Modelled Behaviour by Maximizing Synchronous Moves and using Milestones
Vincent Bloemen, Sebastiaan J. van Zelst, Wil M.P. van der Aalst, Boudewijn van Dongen, Jaco van der Pol
Information Systems (Journal).

Detection and Removal of Infrequent Behavior from Event Streams of Business Processes
Sebastiaan J. van Zelst, Mohammadreza Fani Sani, Alireza Ostovar, Raffaele Conforti, Marcello La Rosa
Information Systems (Journal).

Repairing Alignments of Process Models
Sebastiaan J. van Zelst, Joos C. A. M. Buijs, Borja Vázquez-Barreiros, Manuel Lama, Manuel Mucientes
Business & Information Systems Engineering (Journal).

On the Application of Sequential Pattern Mining Primitives to Process Discovery: Overview, Outlook and Oppurtunity Identification
Marwan Hassani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
WIREs (Journal).

Scenario-Based Prediction of Business Processes Using System Dynamics
Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
On the Move to Meaningful Internet Systems: OTM 2019 – Coopis; Rhodes; 2019.

Automated Robotic Process Automation: A Self-Learning Approach
Junxiong Gao, Sebastiaan J. van Zelst, Xixi Lu, Wil M.P. van der Aalst
On the Move to Meaningful Internet Systems: OTM 2019 – Coopis; Rhodes; 2019.

A Generic Approach for Process Performance Analysis using Bipartite Graph Matching
Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Business Intelligence Workshop 2019 (BPI 2019); Vienna; 2019

The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2019) ; Accepted.

PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack
Alessandro Berti, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Proceedings of the BPM Demo Sessions 2019 Co-located with the 17th International Conference on Business Process Management (BPM 2019), Vienna, Austria, September, 2019.

Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models
Mohammadreza Fani Sani, Alessandro Berti, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Proceedings of the BPM Demo Sessions 2019 Co-located with the 17th International Conference on Business Process Management (BPM 2019), Vienna, Austria, September, 2019.

Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science
Alessandro Berti, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Proceedings of the ICPM Demo Sessions 2019 Co-located with the 1st International Conference on Process Mining (ICPM 2019), Aachen, Germany, June 26, 2019.

Process Mining with Streaming Data
Sebastiaan J. van Zelst
PhD Thesis (Eindhoven University of Technology).
Defense Slides

2018

Online Conformance Checking: Relating Event Streams to Process Models using Prefix-Alignments
Sebastiaan J. van Zelst, Alfredo Bolt, Marwan Hassani, Boudewijn F. van Dongen, Wil M.P. van der Aalst
International Journal of Data Science and Analytics (Journal).

Discovering Worklfow Nets Using Integer Linear Programming
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M.P. van der Aalst, Eric M.W. Verbeek
Computing (Journal).

Event Stream-Based Process Discovery Using Abstract Representations
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M.P. van der Aalst
Knowl. Inf. Syst. (Journal).

Computing Alignments of Event Data and Process Models
Sebastiaan J. van Zelst, Alfredo Bolt, Boudewijn F. van Dongen
T. Petri Nets and Other Models of Concurrency (Journal).

Repairing Outlier Behaviour in Event Logs
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Business Information Systems – 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings.

Maximizing Synchronization for Aligning Observed and Modelled Behavior
Vincent Bloemen, Sebastiaan J. van Zelst, Wil M. P. van der Aalst, Boudewijn F. van Dongen, Jaco van de Pol
Business Process Management – 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9-14, 2018, Proceedings.

Online Conformance Checking Using Behavioural Patterns
Andrea Burattin, Sebastiaan J. van Zelst, Abel Armas-Cervantes, Boudewijn F. van Dongen, Josep Carmona
Business Process Management – 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9-14, 2018, Proceedings.

Filtering Spurious Events from Streams of Business Processes
Sebastiaan J. van Zelst, Mohammadreza Fani Sani, Alireza Ostovar, Raffaele Conforti, Marcello La Rosa
Advanced Information Systems Engineering – 30th International Conference, CAiSE 2018, Tallinn, Estonia, June 11-15, 2018, Proceedings.
Awarded “CAiSE 2018 Distinguished Paper Award”

An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models
Niek Tax, Sebastiaan J. van Zelst, Irene Teinemaa
Enterprise, Business-Process and Information Systems Modeling – 19th International Conference, BPMDS 2018, 23rd International Conference, EMMSAD 2018, Held at CAiSE 2018, Tallinn, Estonia, June 11-12, 2018, Proceedings.

Applying Sequence Mining for Outlier Detection in Process Mining
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
On the Move to Meaningful Internet Systems. OTM 2018 Conferences – Confederated International Conferences: CoopIS, C&TC, and ODBASE 2018, Valletta, Malta, October 22-26, 2018, Proceedings, Part II.

2017

Tuning Alignment Computation: An Experimental Evaluation
Sebastiaan J. van Zelst, Alfredo Bolt, Boudewijn F. van Dongen
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2017 Satellite event of the conferences: 38th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2017 and 17th International Conference on Application of Concurrency to System Design ACSD 2017, Zaragoza, Spain, June 26-27, 2017.

Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M.P. van der Aalst
Business Process Management Workshops – BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Paper.

2016

Repairing Alignments: Striking the Right Nerve
Borja Vázquez-Barreiros, Sebastiaan J. van Zelst, Joos C. A. M. Buijs, Manuel Lama, Manuel Mucientes
Enterprise, Business-Process and Information Systems Modeling – 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Ljubljana, Slovenia, June 13-14, 2016, Proceedings.

Online Discovery of Cooperative Structures in Business Processes
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M.P. van der Aalst
On the Move to Meaningful Internet Systems: OTM 2016 Conferences – Confederated International Conferences: CoopIS, C&TC, and ODBASE 2016, Rhodes, Greece, October 24-28, 2016, Proceedings.

2015

ILP-Based Process Discovery Using Hybrid Regions
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M.P. van der Aalst
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data, ATAED 2015, Satellite event of the conferences: 36th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2015 and 15th International Conference on Application of Concurrency to System Design ACSD 2015, Brussels, Belgium, June 22-23, 2015.

Assessing Process Discovery Scalability in Data Intensive Environments
Sergio Hernández, Joaquín Ezpeleta, Sebastiaan J. van Zelst ,Wil M. P. van der Aals
2nd IEEE/ACM International Symposium on Big Data Computing, BDC 2015, Limassol, Cyprus, December 7-10, 2015.

Handling Big(ger) Logs: Connecting ProM 6 to Apache Hadoop
Sergio Hernández, Sebastiaan J. van Zelst, Joaquín Ezpeleta, Wil M. P. van der Aals
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM) 2015), Innsbruck, Austria, September 2, 2015.

Know What You Stream: Generating Event Streams from CPN Models in ProM 6
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M.P. van der Aalst
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM) 2015), Innsbruck, Austria, September 2, 2015.

Avoiding Over-Fitting in ILP-Based Process Discovery
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M.P. van der Aalst
Proceedings of Business Process Management – 13th International Conference (BPM) 2015, Innsbruck, Austria, August 31 – September 3, 2015.

2014

Data Streams in ProM 6: A Single Node Architecture
Sebastiaan J. van Zelst, Andrea Burattin, Boudewijn F. van Dongen, H.M.W. (Eric) Verbeek
Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management (BPM 2014), Eindhoven, The Netherlands, September 10, 2014.