Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review

arXiv (Cornell University)

Abstract

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.

Authors 3

1. Alessandro Berti Aachen Process and Data Science Group

   RWTH Aachen University · Free University of Bozen-Bolzano

   Affiliation as printed

   Faculty of Engineering , Free University of Bozen-Bolzano , Piazza Domenicani 3 , Bolzano , 39100 , South Tyrol , Italy

   Process and Data Science Group , RWTH Aachen University , Ahornstrasse 55 , Aachen , 52074 , NRW , Germany

2. Marco Montali
3. Wil M. P. van der Aalst