2 citations · 3 across the 3 of their papers we have counts for
5 papers
ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Janick Edinger, Martin Kabierski +10
Process mining traditionally assumes centralized event data collection and analysis. However, modern Industrial Internet of Things systems increasingly operate over distributed, re…
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…
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…
Model Independent Error Bound Estimation for Conformance Checking Approximation
Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst +1
Conformance checking techniques allow us to quantify the correspondence of a process's execution, captured in event data, w.r.t., a reference process model. In this context, alignm…
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…