Sebastiaan J. van Zelst

Orcid: 0000-0003-0415-1036

Affiliations:
  • Celonis, Germany
  • Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany (former)
  • RWTH Aachen University, Germany (former)


According to our database1, Sebastiaan J. van Zelst authored at least 88 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Defining and visualizing process execution variants from partially ordered event data.
Inf. Sci., February, 2024

An Invertible State Space for Process Trees.
CoRR, 2024

POWL: Partially Ordered Workflow Language (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Mining Behavioral Patterns for Conformance Diagnostics.
Proceedings of the Business Process Management - 22nd International Conference, 2024

2023
PM4Py: A process mining library for Python.
Softw. Impacts, September, 2023

Performance-preserving event log sampling for predictive monitoring.
J. Intell. Inf. Syst., August, 2023

Cortado: A dedicated process mining tool for interactive process discovery.
SoftwareX, May, 2023

Explainable concept drift in process mining.
Inf. Syst., March, 2023

Partial-order-based process mining: a survey and outlook.
Knowl. Inf. Syst., January, 2023

Event Data-Driven Feasibility Checking of Process Schedules.
Proceedings of the Advanced Information Systems Engineering, 2023

Context-Based Activity Label-Splitting.
Proceedings of the Business Process Management - 21st International Conference, 2023

Incremental Discovery of Process Models Using Trace Fragments.
Proceedings of the Business Process Management - 21st International Conference, 2023

Model-Independent Error Bound Estimation for Conformance Checking Approximation.
Proceedings of the Business Process Management Workshops, 2023

Alignment Approximator: A ProM Plug-In to Approximate Conformance Statistics.
Proceedings of the Best Dissertation Award, 2023

Event Abstraction for Partial Order Patterns.
Proceedings of the Business Process Management - 21st International Conference, 2023

POWL: Partially Ordered Workflow Language.
Proceedings of the Business Process Management - 21st International Conference, 2023

2022
Aligning observed and modelled behaviour by maximizing synchronous moves and using milestones.
Inf. Syst., 2022

Utilizing domain knowledge in data-driven process discovery: A literature review.
Comput. Ind., 2022

Mining context-aware resource profiles in the presence of multitasking.
Artif. Intell. Medicine, 2022

A Framework for Automated Abstraction Class Detection for Event Abstraction.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

A Generic Trace Ordering Framework for Incremental Process Discovery.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Cache Enhanced Split-Point-Based Alignment Calculation.
Proceedings of the 4th International Conference on Process Mining, 2022

PM4KNIME: Process Mining Meets the KNIME Analytics Platform (Extended Abstract).
Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

Enhanced Transformation of BPMN Models with Cancellation Features.
Proceedings of the Enterprise Design, Operations, and Computing, 2022

Conformance Checking for Trace Fragments Using Infix and Postfix Alignments.
Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

Temporal Performance Analysis for Block-Structured Process Models in Cortado.
Proceedings of the Intelligent Information Systems, 2022

Mining for Long-Term Dependencies in Causal Graphs.
Proceedings of the Business Process Management Workshops, 2022

2021
Freezing Sub-Models During Incremental Process Discovery: Extended Version.
CoRR, 2021

The impact of biased sampling of event logs on the performance of process discovery.
Computing, 2021

Visualizing Trace Variants from Partially Ordered Event Data.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Event Log Sampling for Predictive Monitoring.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

An Activity Instance Based Hierarchical Framework for Event Abstraction.
Proceedings of the 3rd International Conference on Process Mining, 2021

Freezing Sub-models During Incremental Process Discovery.
Proceedings of the Conceptual Modeling - 40th International Conference, 2021

Data-Driven Process Performance Measurement and Prediction: A Process-Tree-Based Approach.
Proceedings of the Intelligent Information Systems - CAiSE Forum 2021, Melbourne, VIC, Australia, June 28, 2021

Demystifying Noise and Outliers in Event Logs: Review and Future Directions.
Proceedings of the Business Process Management Workshops, 2021

A Framework for Explainable Concept Drift Detection in Process Mining.
Proceedings of the Business Process Management - 19th International Conference, 2021

Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling.
Proceedings of the Application and Theory of Petri Nets and Concurrency, 2021

2020
An interdisciplinary comparison of sequence modeling methods for next-element prediction.
Softw. Syst. Model., 2020

Detection and removal of infrequent behavior from event streams of business processes.
Inf. Syst., 2020

Translating Workflow Nets to Process Trees: An Algorithmic Approach.
CoRR, 2020

Improving the performance of process discovery algorithms by instance selection.
Comput. Sci. Inf. Syst., 2020

Repairing Alignments of Process Models.
Bus. Inf. Syst. Eng., 2020

Translating Workflow Nets to Process Trees: An Algorithmic Approach.
Algorithms, 2020

Incremental Discovery of Hierarchical Process Models.
Proceedings of the Research Challenges in Information Science, 2020

Supporting Decisions in Production Line Processes by Combining Process Mining and System Dynamics.
Proceedings of the Intelligent Human Systems Integration 2020, 2020

Stage-Based Process Performance Analysis.
Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Alignment Approximation for Process Trees.
Proceedings of the Process Mining Workshops, 2020

Conformance Checking Approximation Using Simulation.
Proceedings of the 2nd International Conference on Process Mining, 2020

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity.
Proceedings of the 2nd International Conference on Process Mining, 2020

Process Model Discovery from Sensor Event Data.
Proceedings of the Process Mining Workshops, 2020

Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics.
Proceedings of the Conceptual Modeling - 39th International Conference, 2020

Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP).
Proceedings of the Data Management Technologies and Applications, 2020

Conformance Checking Approximation Using Subset Selection and Edit Distance.
Proceedings of the Advanced Information Systems Engineering, 2020

A Generic Framework for Attribute-Driven Hierarchical Trace Clustering.
Proceedings of the Business Process Management Workshops, 2020

Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm.
Proceedings of the Business Process Management - 18th International Conference, 2020

Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining.
Proceedings of the Business Information Systems - 23rd International Conference, 2020

2019
On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification.
WIREs Data Mining Knowl. Discov., 2019

Online conformance checking: relating event streams to process models using prefix-alignments.
Int. J. Data Sci. Anal., 2019

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour.
Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2019

Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science.
CoRR, 2019

Scenario-Based Prediction of Business Processes Using System Dynamics.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

Automated Robotic Process Automation: A Self-Learning Approach.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models.
Proceedings of the Dissertation Award, 2019

A Generic Approach for Process Performance Analysis Using Bipartite Graph Matching.
Proceedings of the Business Process Management Workshops, 2019

PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack.
Proceedings of the Dissertation Award, 2019

The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms.
Proceedings of the New Trends in Databases and Information Systems, 2019

2018
Computing Alignments of Event Data and Process Models.
Trans. Petri Nets Other Model. Concurr., 2018

Event stream-based process discovery using abstract representations.
Knowl. Inf. Syst., 2018

Discovering workflow nets using integer linear programming.
Computing, 2018

Applying Sequence Mining for Outlier Detection in Process Mining.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

Filtering Spurious Events from Event Streams of Business Processes.
Proceedings of the Advanced Information Systems Engineering, 2018

An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2018

Online Conformance Checking Using Behavioural Patterns.
Proceedings of the Business Process Management - 16th International Conference, 2018

Maximizing Synchronization for Aligning Observed and Modelled Behaviour.
Proceedings of the Business Process Management - 16th International Conference, 2018

Repairing Outlier Behaviour in Event Logs.
Proceedings of the Business Information Systems - 21st International Conference, 2018

2017
Discovering Relaxed Sound Workflow Nets using Integer Linear Programming.
CoRR, 2017

RapidProM: Mine Your Processes and Not Just Your Data.
CoRR, 2017

Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities.
Proceedings of the Business Process Management Workshops, 2017

Tuning Alignment Computation: An Experimental Evaluation.
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, 2017

2016
Online Discovery of Cooperative Structures in Business Processes.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Repairing Alignments: Striking the Right Nerve.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2016

2015
Avoiding Over-Fitting in ILP-Based Process Discovery.
Proceedings of the Business Process Management - 13th International Conference, 2015

Know What You Stream: Generating Event Streams from CPN Models in ProM 6.
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015

Handling Big(ger) Logs: Connecting ProM 6 to Apache Hadoop.
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015

Assessing Process Discovery Scalability in Data Intensive Environments.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

ILP-Based Process Discovery Using Hybrid Regions.
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data, 2015

2014
Data Streams in ProM 6: A Single-node Architecture.
Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management (BPM 2014), 2014


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