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cs.DB2025★ 2 cited
Determining Window Sizes using Species Estimation for Accurate Process Mining over Streams
Christian Imenkamp, Martin Kabierski, Hendrik Reiter +3
Streaming process mining deals with the real-time analysis of event streams. A common approach for it is to adopt windowing mechanisms that select event data from a stream for subs…
cs.DB2021★ 2 cited
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…