Data Streams in ProM 6: A Single-node Architecture. - Sebastiaan J. van Zelst; Andrea Burattin; Boudewijn F. van Dongen; H. M. W. Verbeek (BPM (Demos), 2014)

ILP-Based Process Discovery Using Hybrid Regions. - Sebastiaan J. van Zelst; Boudewijn F. van Dongen; Wil M. P. van der Aalst (ATAED@Petri Nets/ACSD, 2015)

Assessing Process Discovery Scalability in Data Intensive Environments. - Sergio Hernández; Joaquin Ezpeleta; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BDC, 2015)

Handling Big(ger) Logs: Connecting ProM 6 to Apache Hadoop. - Sergio Hernández; Sebastiaan J. van Zelst; Joaquín Ezpeleta; Wil M. P. van der Aalst (BPM (Demos), 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 (BPM (Demos), 2015)

Avoiding Over-Fitting in ILP-Based Process Discovery. - Sebastiaan J. van Zelst; Boudewijn F. van Dongen; Wil M. P. van der Aalst (BPM, 2015)

Repairing Alignments: Striking the Right Nerve. - Borja Vázquez-Barreiros; Sebastiaan J. van Zelst; Joos C. A. M. Buijs; Manuel Lama; Manuel Mucientes (BMMDS/EMMSAD, 2016)

Online Discovery of Cooperative Structures in Business Processes. - Sebastiaan J. van Zelst; Boudewijn F. van Dongen; Wil M. P. van der Aalst (OTM Conferences, 2016)

Tuning Alignment Computation: An Experimental Evaluation. - Sebastiaan J. van Zelst; Alfredo Bolt; Boudewijn F. van Dongen (ATAED@Petri Nets/ACSD, 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, 2017)

RapidProM: Mine Your Processes and Not Just Your Data. - Wil M. P. van der Aalst; Alfredo Bolt; Sebastiaan J. van Zelst (CoRR, 2017)

Discovering Relaxed Sound Workflow Nets using Integer Linear Programming. - Sebastiaan J. van Zelst; Boudewijn F. van Dongen; Wil M. P. van der Aalst; H. M. W. Verbeek (CoRR, 2017)

Repairing Outlier Behaviour in Event Logs. - Mohammadreza Fani Sani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BIS, 2018)

Maximizing Synchronization for Aligning Observed and Modelled Behaviour. - Vincent Bloemen; Sebastiaan J. van Zelst; Wil M. P. van der Aalst; Boudewijn F. van Dongen; Jaco van de Pol (BPM, 2018)

Online Conformance Checking Using Behavioural Patterns. - Andrea Burattin; Sebastiaan J. van Zelst; Abel Armas-Cervantes; Boudewijn F. van Dongen; Josep Carmona 001 (BPM, 2018)

An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models. - Niek Tax; Sebastiaan J. van Zelst; Irene Teinemaa (BPMDS/EMMSAD@CAiSE, 2018)

Filtering Spurious Events from Event Streams of Business Processes. - Sebastiaan J. van Zelst; Mohammadreza Fani Sani; Alireza Ostovar; Raffaele Conforti; Marcello La Rosa (CAiSE, 2018)

Applying Sequence Mining for Outlier Detection in Process Mining. - Mohammadreza Fani Sani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (OTM Conferences (2), 2018)

Discovering workflow nets using integer linear programming. - Sebastiaan J. van Zelst; Boudewijn F. van Dongen; Wil M. P. van der Aalst; H. M. W. Verbeek (Computing, 2018)

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., 2018)

Computing Alignments of Event Data and Process Models. - Sebastiaan J. van Zelst; Alfredo Bolt; Boudewijn F. van Dongen (Trans. Petri Nets Other Model. Concurr., 2018)

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 (ADBIS (Short Papers and Workshops), 2019)

PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack. - Alessandro Berti 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BPM (PhD/Demos), 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 Process Management Workshops, 2019)

Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models. - Mohammadreza Fani Sani; Alessandro Berti 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BPM (PhD/Demos), 2019)

Automated Robotic Process Automation: A Self-Learning Approach. - Junxiong Gao; Sebastiaan J. van Zelst; Xixi Lu 001; Wil M. P. van der Aalst (OTM Conferences, 2019)

Scenario-Based Prediction of Business Processes Using System Dynamics. - Mahsa Pourbafrani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (OTM Conferences, 2019)

Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science. - Alessandro Berti 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (CoRR, 2019)

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour. - Mohammadreza Fani Sani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2019)

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 (Int. J. Data Sci. Anal., 2019)

On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification. - Marwan Hassani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (WIREs Data Mining Knowl. Discov., 2019)

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 (BIS, 2020)

Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm. - Daniel Schuster 001; Sebastiaan J. van Zelst (BPM, 2020)

A Generic Framework for Attribute-Driven Hierarchical Trace Clustering. - Sebastiaan J. van Zelst; Yukun Cao (Business Process Management Workshops, 2020)

Conformance Checking Approximation Using Subset Selection and Edit Distance. - Mohammadreza Fani Sani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (CAiSE, 2020)

Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). - Wil M. P. van der Aalst; Tobias Brockhoff; Anahita Farhang Ghahfarokhi; Mahsa Pourbafrani; Merih Seran Uysal; Sebastiaan J. van Zelst (DATA (Revised Selected Papers), 2020)

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 (ER, 2020)

Process Model Discovery from Sensor Event Data. - Dominik Janssen; Felix Mannhardt; Agnes Koschmider; Sebastiaan J. van Zelst (ICPM Workshops, 2020)

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity. - Sander J. J. Leemans; Kanika Goel 002; Sebastiaan J. van Zelst (ICPM, 2020)

Conformance Checking Approximation Using Simulation. - Mohammadreza Fani Sani; Juan J. Garza Gonzalez; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICPM, 2020)

Alignment Approximation for Process Trees. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICPM Workshops, 2020)

Stage-Based Process Performance Analysis. - Chiao-Yun Li; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICSOC Workshops, 2020)

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 (IHSI, 2020)

Incremental Discovery of Hierarchical Process Models. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (RCIS, 2020)

Translating Workflow Nets to Process Trees: An Algorithmic Approach. - Sebastiaan J. van Zelst; Sander J. J. Leemans (Algorithms, 2020)

Repairing Alignments of Process Models. - Sebastiaan J. van Zelst; Joos C. A. M. Buijs; Borja Vázquez-Barreiros; Manuel Lama; Manuel Mucientes (Bus. Inf. Syst. Eng., 2020)

Improving the performance of process discovery algorithms by instance selection. - Mohammadreza Fani Sani; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (Comput. Sci. Inf. Syst., 2020)

Translating Workflow Nets to Process Trees: An Algorithmic Approach. - Sebastiaan J. van Zelst (CoRR, 2020)

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 (Inf. Syst., 2020)

An interdisciplinary comparison of sequence modeling methods for next-element prediction. - Niek Tax; Irene Teinemaa; Sebastiaan J. van Zelst (Softw. Syst. Model., 2020)

Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (Petri Nets, 2021)

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 001 (BPM, 2021)

Demystifying Noise and Outliers in Event Logs: Review and Future Directions. - Agnes Koschmider; Kay Kaczmarek; Mathias Krause; Sebastiaan J. van Zelst (Business Process Management Workshops, 2021)

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)

Freezing Sub-models During Incremental Process Discovery. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ER, 2021)

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

Event Log Sampling for Predictive Monitoring. - Mohammadreza Fani Sani; Mozhgan Vazifehdoostirani; Gyunam Park; Marco Pegoraro 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICPM Workshops, 2021)

Visualizing Trace Variants from Partially Ordered Event Data. - Daniel Schuster 001; Lukas Schade; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICPM Workshops, 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, 2021)

Freezing Sub-Models During Incremental Process Discovery: Extended Version. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (CoRR, 2021)

Mining for Long-Term Dependencies in Causal Graphs. - Humam Kourani; Chiara Di Francescomarino; Chiara Ghidini; Wil M. P. van der Aalst; Sebastiaan J. van Zelst (Business Process Management Workshops, 2022)

Temporal Performance Analysis for Block-Structured Process Models in Cortado. - Daniel Schuster 001; Lukas Schade; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (CAiSE Forum, 2022)

Conformance Checking for Trace Fragments Using Infix and Postfix Alignments. - Daniel Schuster 001; Niklas Föcking; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (CoopIS, 2022)

Enhanced Transformation of BPMN Models with Cancellation Features. - Giorgi Lomidze; Daniel Schuster 001; Chiao-Yun Li; Sebastiaan J. van Zelst (EDOC, 2022)

PM4KNIME: Process Mining Meets the KNIME Analytics Platform (Extended Abstract). - Humam Kourani; Sebastiaan J. van Zelst; Barry-Detlef Lehmann; Gabriel Einsdorf; Stefan Helfrich; Fabian Liße (ICPM Doctoral Consortium / Demo, 2022)

Cache Enhanced Split-Point-Based Alignment Calculation. - Tian Li 007; Sebastiaan J. van Zelst (ICPM, 2022)

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. - Daniel Schuster 001; Michael Martini; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICSOC, 2022)

A Generic Trace Ordering Framework for Incremental Process Discovery. - Daniel Schuster 001; Emanuel Domnitsch; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (IDA, 2022)

A Framework for Automated Abstraction Class Detection for Event Abstraction. - Chiao-Yun Li; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ISDA (2), 2022)

Mining context-aware resource profiles in the presence of multitasking. - Gerhardus A. W. M. van Hulzen; Chiao-Yun Li; Niels Martin; Sebastiaan J. van Zelst; Benoît Depaire (Artif. Intell. Medicine, 2022)

Utilizing domain knowledge in data-driven process discovery: A literature review. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (Comput. Ind., 2022)

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 F. van Dongen; Jaco van de Pol (Inf. Syst., 2022)

POWL: Partially Ordered Workflow Language. - Humam Kourani; Sebastiaan J. van Zelst (BPM, 2023)

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

Alignment Approximator: A ProM Plug-In to Approximate Conformance Statistics. - Mohammadreza Fani Sani; Juan J. Garza Gonzalez; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BPM (Demos / Resources Forum), 2023)

Model-Independent Error Bound Estimation for Conformance Checking Approximation. - Mohammadreza Fani Sani; Martin Kabierski; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (Business Process Management Workshops, 2023)

Incremental Discovery of Process Models Using Trace Fragments. - Daniel Schuster 001; Niklas Föcking; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BPM, 2023)

Context-Based Activity Label-Splitting. - Sebastiaan J. van Zelst; Jonas Tai; Moritz Langenberg; Xixi Lu 001 (BPM, 2023)

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

Partial-order-based process mining: a survey and outlook. - Sander J. J. Leemans; Sebastiaan J. van Zelst; Xixi Lu 001 (Knowl. Inf. Syst., 2023)

Explainable concept drift in process mining. - Jan Niklas Adams; Sebastiaan J. van Zelst; Thomas Rose 001; Wil M. P. van der Aalst (Inf. Syst., 2023)

Cortado: A dedicated process mining tool for interactive process discovery. - Daniel Schuster 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (SoftwareX, 2023)

Performance-preserving event log sampling for predictive monitoring. - Mohammadreza Fani Sani; Mozhgan Vazifehdoostirani; Gyunam Park; Marco Pegoraro 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (J. Intell. Inf. Syst., 2023)

PM4Py: A process mining library for Python. - Alessandro Berti 001; Sebastiaan J. van Zelst; Daniel Schuster 001 (Softw. Impacts, 2023)

Mining Behavioral Patterns for Conformance Diagnostics. - Eduardo Goulart Rocha; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (BPM, 2024)

POWL: Partially Ordered Workflow Language (Extended Abstract). - Humam Kourani; Sebastiaan J. van Zelst (IJCAI, 2024)

An Invertible State Space for Process Trees. - Gero J. Kolhof; Sebastiaan J. van Zelst (CoRR, 2024)

Defining and visualizing process execution variants from partially ordered event data. - Daniel Schuster 001; Francesca Zerbato; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (Inf. Sci., 2024)

Towards Multi-Faceted Visual Process Analytics. - Stef van den Elzen; Mieke Jans; Niels Martin; Femke Pieters; Christian Tominski; Maria-Cruz Villa-Uriol; Sebastiaan J. van Zelst (Inf. Syst., 2025)

Discovering partially ordered workflow models. - Humam Kourani; Sebastiaan J. van Zelst; Daniel Schuster 001; Wil M. P. van der Aalst (Inf. Syst., 2025)