11 citations · 14 across the 4 of their papers we have counts for
4 papers
ProReco: A Process Discovery Recommender System
Tsung-Hao Huang, Tarek Junied, Marco Pegoraro +1
Process discovery aims to automatically derive process models from historical execution data (event logs). While various process discovery algorithms have been proposed in the last…
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst +1
The business processes of organizations may deviate from normal control flow due to disruptive anomalies, including unknown, skipped, and wrongly-ordered activities. To identify th…
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…
Imposing Rules in Process Discovery: an Inductive Mining Approach
Ali Norouzifar, Marcus Dees, Wil van der Aalst
Process discovery aims to discover descriptive process models from event logs. These discovered process models depict the actual execution of a process and serve as a foundational…