172 citations · 398 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…