3 citations · 4 across the 9 of their papers we have counts for
9 papers
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…
eST Miner -- Process Discovery Based on Firing Partial Orders
Sabine Folz-Weinstein, Christian Rennert, Lisa Luise Mannel +2
Process discovery generates process models from event logs. Traditionally, an event log is defined as a multiset of traces, where each trace is a sequence of events. The total orde…
Releasing Differentially Private Event Logs Using Generative Models
Frederik Wangelik, Majid Rafiei, Mahsa Pourbafrani +1
In recent years, the industry has been witnessing an extended usage of process mining and automated event data analysis. Consequently, there is a rising significance in addressing…
Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings
Ariba Siddiqui, Wil M. P. van der Aalst, Daniel Schuster
Conformance checking techniques aim to provide diagnostics on the conformity between process models and event data. Conventional methods, such as trace alignments, assume strict to…
Federated Conformance Checking
Majid Rafiei, Mahsa Pourbafrani, Wil M. P. van der Aalst
Conformance checking is a crucial aspect of process mining, where the main objective is to compare the actual execution of a process, as recorded in an event log, with a reference…
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…
Evaluation of Study Plans using Partial Orders
Christian Rennert, Mahsa Pourbafrani, Wil van der Aalst
In higher education, data is collected that indicate the term(s) that a course is taken and when it is passed. Often, study plans propose a suggested course order to students. Stud…
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…