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The paper explores the use of Model Learning (ML) algorithms to automatically discover Deterministic Finite State Automata (DFAs) from event logs for business process analysis. It highlights the significance of DFAs in formal reasoning tasks such as conformance checking and compliance monitoring, and assesses the quality of discovered DFAs using customized metrics. The study benchmarks various ML algorithms against real-life and synthetic datasets to evaluate their effectiveness in supporting Business Proce
- Author
- Vedant Tulaskar
- Language
- EN