5 papers
Discriminative Rule Learning for Outcome-Guided Process Model Discovery
Ali Norouzifar, Wil van der Aalst
Event logs extracted from information systems offer a rich foundation for understanding and improving business processes. In many real-world applications, it is possible to disting…
Integrating Domain Knowledge into Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees +1
Process discovery aims to derive process models from event logs, providing insights into operational behavior and forming a foundation for conformance checking and process improvem…
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…
Bridging Domain Knowledge and Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees +1
Discovering good process models is essential for different process analysis tasks such as conformance checking and process improvements. Automated process discovery methods often o…
Process Variant Analysis Across Continuous Features: A Novel Framework
Ali Norouzifar, Majid Rafiei, Marcus Dees +1
Extracted event data from information systems often contain a variety of process executions making the data complex and difficult to comprehend. Unlike current research which only…