19 citations · 35 across the 5 of their papers we have counts for
4 papers · 1 filter
Inductive Process Discovery from Partially Ordered Event Data
Humam Kourani, Tom Breuer, Gyunam Park +1
The Inductive Miner (IM) family is a prominent class of process discovery techniques, combining efficient recursive decomposition with soundness-by-construction guarantees. However…
Monotonicity-Guided Bottom-Up Petri Net Discovery: The SPECpp Framework
Leah Tacke genannt Unterberg, Lisa L. Mannel, Wil M. P. van der Aalst
Process discovery is one of the central challenges in process mining. Petri nets are particularly attractive because simple local constructs can express complex behavior, including…
ProMoAI: Process Modeling with Generative AI
Humam Kourani, Alessandro Berti, Daniel Schuster +1
ProMoAI is a novel tool that leverages Large Language Models (LLMs) to automatically generate process models from textual descriptions, incorporating advanced prompt engineering, e…
OCEL (Object-Centric Event Log) 2.0 Specification
Alessandro Berti, Istvan Koren, Jan Niklas Adams +10
Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM tech…