INCREMENTAL TRANSITION SYSTEM CONSTRUCTION WITH REFINEMENT FOR REGION-BASED PROCESS MINING

Autor/innen

DOI:

https://doi.org/10.26034/lu.akwi.2026.8842

Schlagworte:

Region-based Process Mining, Incremental Algorithm, Transition System, Configuration Refinement

Abstract

Process discovery focuses on deriving process models from event logs to facilitate the analysis of complex workflows. Region-based approaches are known for their ability to effectively capture concurrency and handle invisible transitions, but they suffer from high computational demands and reliance on predefined state information. This paper introduces an incremental algorithm to construct transition systems (TS) from event logs, integrating a refinement strategy to optimize the representation of the state. The proposed method significantly reduces the complexity of the transition system by configuring state abstractions using past, future, or hybrid horizons. A refinement strategy is used to determine optimal configurations for state representation, ensuring model quality through precision and simplicity metrics. The approach is evaluated using a case study that demonstrates its effectiveness in improving scalability and efficiency in region-based process discovery.

Autor/innen-Biografien

Shengrui Peng, L3S Research Center, Leibniz University Hannover

Shengrui Peng went to Leibniz University of Hanover, where he started with Civil Engineering as a Bachelor’s and obtained a Master’s degree in Computational Methods in Engineering in 2019. Immediately after graduation, he joined L3S Research Center as a Ph.D. candidate. He has published several papers on modeling, simulation-based optimization, and process mining. He is strongly interested in the concept of combining process mining techniques with advanced AI approaches.

Helena Szczerbicka, L3S Research Center, Leibniz University Hannover

Helena Szczerbicka is Professor Emeritus of the Faculty of Electrical Engineering and Computer Science at the Leibniz University of Hanover, Germany. Her research interests focus on modeling, simulation, and optimization. She has served on the Board of Directors of the Society of Modeling and Computer Simulation International SCS for many years. She has received much recognition for her various scholarly publications, achievements, and professional activities that focus on the importance of modeling and simulation in its interaction with other disciplines.

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Veröffentlicht

2026-09-02

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Nr. 22 (2026)

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Copyright (c) 2026 Shengrui Peng, Helena Szczerbicka

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Dieses Werk steht unter der Lizenz Creative Commons Namensnennung 4.0 International.