BROOM: Toolbox for IoT-Enhanced Process Mining. Imenkamp, C., Bertrand, Y., Grüger, J., Malburg, L., Franceschetti, M., Ehrendorfer, M., & Koschmider, A. In Reijers, H. A., Marrella, A., del-Río-Ortega , A., Rinderle-Ma, S., Depaire, B., Rehse, J., Santoro, F. M., Zerbato, F., Márquez-Chamorro, A. E., Beerepoot, I., Agostinelli, S., & Smedt, J. D., editors, Joint Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2025 co-located with 23rd International Conference on Business Process Management (BPM 2025), Seville, Spain, August 31st to September 5th, 2025, volume 4032, of CEUR Workshop Proceedings, pages 248–255, Seville, Spain, 2025. CEUR-WS.org.
BROOM: Toolbox for IoT-Enhanced Process Mining [pdf]Paper  abstract   bibtex   
Internet of Things (IoT)-enhanced process mining faces interoperability challenges due to diverse event log formats. Addressing this gap, we introduce the CORE metamodel, a unified representation based on the Object- Centric Event Log (OCEL) standard. We also present BROOM (toolBox foR IOT-enhanced prOcess Mining), a web-based toolbox that seamlessly transforms between log formats. BROOM’s node-based interface simplifies attribute mapping, significantly improving accessibility and efficiency in IoT-enhanced process analysis.

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