5 citations · 15 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs
Humam Kourani, Gyunam Park, Wil M. P. van der Aalst
Process discovery aims to automatically derive process models from event logs, enabling organizations to analyze and improve their operational processes. Inductive mining algorithm…
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…
Detecting Surprising Situations in Event Data
Christian Kohlschmidt, Mahnaz Sadat Qafari, Wil M. P. van der Aalst
Process mining is a set of techniques that are used by organizations to understand and improve their operational processes. The first essential step in designing any process reengi…
Predictive Object-Centric Process Monitoring
Timo Rohrer, Anahita Farhang Ghahfarokhi, Mohamed Behery +2
The automation and digitalization of business processes has resulted in large amounts of data captured in information systems, which can aid businesses in understanding their proce…