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

arXiv: https://arxiv.org/abs/2311.08795 · HTML: https://mlsanity.com/paper/2311.08795/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Nov 2023.

## Built on by (most cited first, 1 of 1)

- [Object-Centric Conformance Alignments with Synchronization (Extended Version)](https://mlsanity.com/paper/2312.08537/) (2023)

## Abstract (arXiv)

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.