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20242026
most citedControl-flow anomaly detection by process mining-based feature extraction and dimensionality reduction

11 citations · 21 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.DB2026

Hierarchical Decomposition of Separable Workflow-Nets

Humam Kourani, Gyunam Park, Wil M. P. van der Aalst

The Partially Ordered Workflow Language (POWL) has recently emerged as a process modeling notation, offering strong quality guarantees and high expressiveness. While early versions…

cs.DB20256 cited

OCPQ: Object-Centric Process Querying & Constraints

Aaron Küsters, Wil M. P. van der Aalst

Process querying is used to extract information and insights from process execution data. Similarly, process constraints can be checked against input data, yielding information on…

cs.DB2025

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets

Alessandro Berti, Wil M. P. van der Aalst

Colored Petri Nets (CPNs) are an established formalism for modeling processes where tokens carry data. Although tools like CPN Tools and CPN IDE excel at CPN-based simulation, they…

cs.DB2024

Object-Centric Local Process Models

Viki Peeva, Marvin Porsil, Wil M. P. van der Aalst

Process mining is a technology that helps understand, analyze, and improve processes. It has been present for around two decades, and although initially tailored for business proce…

cs.DB20242 cited

Leveraging Large Language Models for Enhanced Process Model Comprehension

Humam Kourani, Alessandro Berti, Jasmin Hennrich +6

In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become…