Mohamed, BelalElHelw, MohamedAwad, Ahmed2025-05-062025-05-062023Awad, A. et al. (2023) “Towards Scalable Process Mining Pipelines,” in 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 125–182.Electronic ISSN: 2837-0740 Print on Demand(PoD) ISSN: 2837-0724https://bspace.buid.ac.ae/handle/1234/2937Over the past two decades, process mining has proven to be a valuable approach to gain insights into or ganizations’ performance. The major sub-fields of discovery, conformance, and improvement have witnessed substantial de velopment. Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. Mostly, these contributions were addressing process mining guidelines from the process mining manifesto. In this paper, we address the sixth guideline in the process mining manifesto. That is, process mining should be a continuous process. For this, we propose a pipelining approach that is: configurable, scalable, modular, and automated. We realize our proposal using Dask and evaluate it with different architectures, process discovery, and evaluation metrics.enMeasurement,Organizations,Computer architecture,Big Data,Data mining,Proposals,Pipeline processingArticlehttps://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361330.