Recent years have seen the emergence of object-centric process mining techniques. Born as a response to the limitations of traditional process mining in analyzing event data from prevalent information systems like CRM and ERP, these techniques aim to tackle the deficiency, convergence, and divergence issues seen in traditional event logs. Despite the promise, the adoption in real-world process mining analyses remains limited. This paper embarks on a comprehensive literature review of object-centric process mining, providing insights into the current status of the discipline and its historical trajectory.
@article{arxiv.2311.08795,
title = {Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review},
author = {Alessandro Berti and Marco Montali and Wil M. P. van der Aalst},
journal= {arXiv preprint arXiv:2311.08795},
year = {2023}
}