6 papers
The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Christian Imenkamp, Olaf Landsiedel +3
Smart factories are evolving into Cyber-Physical Systems (CPS), demanding increased autonomy. This necessitates real-time decision making, facilitated by insights derived from sens…
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…
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…
DPM-Bench: Benchmark for Distributed Process Mining Algorithms on Cyber-Physical Systems
Hendrik Reiter, Patrick Rathje, Olaf Landsiedel +1
Process Mining is established in research and industry systems to analyze and optimize processes based on event data from information systems. Within this work, we accomodate proce…
Precise Ranging: Modeling Bias and Variance of Double-Sided Two-Way Ranging with TDoA Extraction under Multipath and NLOS Effects
Patrick Rathje, Olaf Landsiedel
Location-based services such as autonomous vehicles, drones, and indoor positioning require precise and scalable distance estimates. The bias and variance of range estimators inher…
EdgeMiner: Distributed Process Mining at the Data Sources
Julia Andersen, Patrick Rathje, Christian Imenkamp +2
Process mining is moving beyond mining traditional event logs and nowadays includes, for example, data sourced from sensors in the Internet of Things (IoT). The volume and velocity…