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

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arxiv 2311.08795 v1 pith:5UZQ5TES submitted 2023-11-15 cs.DB

classification cs.DB
keywords miningprocessobject-centriceventliteraturereviewseentechniques
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 6 citations worldwide. Full citation record

  1. Object-centric Processes with Structured Data and Exact Synchronization (Extended Version)

    cs.MA 2025-05 reject novelty 6.0 of 10

    DOPIDs extend object-centric Petri nets with structured data, aggregation guards, and exact synchronization, and are paired with an SMT-based conformance checking method.

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