Semantics-aware mechanisms for control-flow anonymization in process mining

Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich

Abstract: Highlights•We propose methods to anonymize the control-flow perspective of business processes.•The anonymized data is protected by differential privacy.•Our techniques provide better utility for process discovery than the state of the art.