DOPIDs extend object-centric Petri nets with structured data, aggregation guards, and exact synchronization, and are paired with an SMT-based conformance checking method.
Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review
1 Pith paper cite this work, alongside 6 external citations. Polarity classification is still indexing.
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.
fields
cs.MA 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
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Object-centric Processes with Structured Data and Exact Synchronization (Extended Version)
DOPIDs extend object-centric Petri nets with structured data, aggregation guards, and exact synchronization, and are paired with an SMT-based conformance checking method.