9 citations · 9 across the 3 of their papers we have counts for
6 papers
Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)
Alessandro Berti, Mahnaz Sadat Qafari
This technical report describes the intersection of process mining and large language models (LLMs), specifically focusing on the abstraction of traditional and object-centric proc…
A Collection of Simulated Event Logs for Fairness Assessment in Process Mining
Timo Pohl, Alessandro Berti, Mahnaz Sadat Qafari +1
The analysis of fairness in process mining is a significant aspect of data-driven decision-making, yet the advancement in this field is constrained due to the scarcity of event dat…
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…
Feature Recommendation for Structural Equation Model Discovery in Process Mining
Mahnaz Sadat Qafari, Wil van der Aalst
Process mining techniques can help organizations to improve their operational processes. Organizations can benefit from process mining techniques in finding and amending the root c…
Case Level Counterfactual Reasoning in Process Mining
Mahnaz Sadat Qafari, Wil van der Aalst
Process mining is widely used to diagnose processes and uncover performance and compliance problems. It is also possible to see relations between different behavioral aspects, e.g.…
Fairness-Aware Process Mining
Mahnaz Sadat Qafari, Wil van der Aalst
Process mining is a multi-purpose tool enabling organizations to improve their processes. One of the primary purposes of process mining is finding the root causes of performance or…