activity
20192026
most citedPrivacy and Confidentiality in Process Mining -- Threats and Research Challenges

45 citations · 48 across the 9 of their papers we have counts for

collaborators

20 papers

cs.DS2026

Privacy Attacks on Stable Marriage

Stephan A. Fahrenkrog-Petersen, Aleksander Figiel, Darya Melnyk +2

The stable marriage problem appears in many privacy-sensitive domains, for example in the National Resident Matching Program in the US. In such applications, preserving the privacy…

cs.CY2026

Fairness in Healthcare Processes: A Quantitative Analysis of Decision Making in Triage

Rachmadita Andreswari, Stephan A. Fahrenkrog-Petersen, Jan Mendling

Fairness in automated decision-making has become a critical concern, particularly in high-pressure healthcare scenarios such as emergency triage, where fast and equitable decisions…

cs.DB2025

Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data

Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Xixi Lu +1

To obtain insights from event data, advanced process mining methods assess the similarity of activities to incorporate their semantic relations into the analysis. Here, distributio…

cs.LG20251 cited

SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms

Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula +3

Process mining aims to extract and analyze insights from event logs, yet algorithm metric results vary widely depending on structural event log characteristics. Existing work often…

cs.DB2025

Cross-Organizational Analysis of Parliamentary Processes: A Case Study

Paul-Julius Hillmann, Stephan A. Fahrenkrog-Petersen, Jan Mendling

Process Mining has been widely adopted by businesses and has been shown to help organizations analyze and optimize their processes. However, so far, little attention has gone into…

cs.DB2025

Transforming Football Data into Object-centric Event Logs with Spatial Context Information

Vito Chan, Lennart Ebert, Paul-Julius Hillmann +3

Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process beha…