4 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…
Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data
Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Xixi Lu +1
To obtain insights from event data, advanced process mining methods assess the similarity of activities to incorporate their semantic relations into the analysis. Here, distributio…
The Impact of Event Data Partitioning on Privacy-aware Process Discovery
Jungeun Lim, Stephan A. Fahrenkrog-Petersen, Xixi Lu +2
Information systems support the execution of business processes. The event logs of these executions generally contain sensitive information about customers, patients, and employees…
Process Mining on Distributed Data Sources
Maximilian Weisenseel, Julia Andersen, Samira Akili +10
Major domains such as logistics, healthcare, and smart cities increasingly rely on sensor technologies and distributed infrastructures to monitor complex processes in real time. Th…