45 citations · 91 across the 17 of their papers we have counts for
20 papers
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…
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…
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…
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…
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…
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…
The Impact of Event Data Partitioning on Privacy-aware Process Discovery
Jungeun Lim, Stephan A. Fahrenkrog-Petersen, Xixi Lu +2
Information systems support the execution of business processes. The event logs of these executions generally contain sensitive information about customers, patients, and employees…
Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes
Cielo Gonzalez Moyano, Finn Klessascheck, Saimir Bala +2
Business Process Management (BPM) is mostly centered around finding technical solutions. Nudging is an approach from psychology and behavioral economics to guide people's behavior.…
Control-flow Reconstruction Attacks on Business Process Models
Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Felix Mannhardt +1
Process models may be automatically generated from event logs that contain as-is data of a business process. While such models generalize over the control-flow of specific, recorde…
Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management
Finn Klessascheck, Stephan A. Fahrenkrog-Petersen, Jan Mendling +1
To promote sustainable business practices, and to achieve climate neutrality by 2050, the EU has developed the taxonomy of sustainable activities, which describes when exactly busi…
Unraveling the Never-Ending Story of Lifecycles and Vitalizing Processes
Stephan A. Fahrenkrog-Petersen, Saimir Bala, Luise Pufahl +1
Business process management (BPM) has been widely used to discover, model, analyze, and optimize organizational processes. BPM looks at these processes with analysis techniques tha…
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization
Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich +1
Anonymization of event logs facilitates process mining while protecting sensitive information of process stakeholders. Existing techniques, however, focus on the privatization of t…
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining
Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel +2
Privacy-preserving process mining enables the analysis of business processes using event logs, while giving guarantees on the protection of sensitive information on process stakeho…
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa +1
To enable process analysis based on an event log without compromising the privacy of individuals involved in process execution, a log may be anonymized. Such anonymization strives…
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani +5
Privacy and confidentiality are very important prerequisites for applying process mining in order to comply with regulations and keep company secrets. This paper provides a foundat…
Privacy-aware Process Performance Indicators: Framework and Release Mechanisms
Martin Kabierski, Stephan Fahrenkrog-Petersen, Matthias Weidlich
Process performance indicators (PPIs) are metrics to quantify the degree with which organizational goals defined based on business processes are fulfilled. They exploit the event l…
PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information
Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich
Event logs capture the execution of business processes in terms of executed activities and their execution context. Since logs contain potentially sensitive information about the i…
Quantifying the Re-identification Risk of Event Logs for Process Mining
S. Nuñez von Voigt, S. A. Fahrenkrog-Petersen, D. Janssen +5
Event logs recorded during the execution of business processes constitute a valuable source of information. Applying process mining techniques to them, event logs may reveal the ac…
Secure Multi-Party Computation for Inter-Organizational Process Mining
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas +3
Process mining is a family of techniques for analysing business processes based on event logs extracted from information systems. Mainstream process mining tools are designed for i…
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa +4
Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outc…