172 citations · 398 across the 19 of their papers we have counts for
4 papers · 1 filter
GECCO: Constraint-driven Abstraction of Low-level Event Logs
Adrian Rebmann, Matthias Weidlich, Han van der Aa
Process mining enables the analysis of complex systems using event data recorded during the execution of processes. Specifically, models of these processes can be discovered from e…
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-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…