105 citations · 158 across the 16 of their papers we have counts for
7 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…
Hierarchical Decomposition of Separable Workflow-Nets
Humam Kourani, Gyunam Park, Wil M. P. van der Aalst
The Partially Ordered Workflow Language (POWL) has recently emerged as a process modeling notation, offering strong quality guarantees and high expressiveness. While early versions…
Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery
Humam Kourani, Gyunam Park, Wil M. P. van der Aalst
Process discovery algorithms traditionally linearize events, failing to capture the inherent concurrency of real-world processes. While some techniques can handle partially ordered…
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
Humam Kourani, Alessandro Berti, Daniel Schuster +1
Large Language Models (LLMs) are rapidly transforming various fields, and their potential in Business Process Management (BPM) is substantial. This paper assesses the capabilities…
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…
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…
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Alessandro Berti, Humam Kourani, Hannes Hafke +2
Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results. However, little attention has b…