Abstract
Object-centric process mining views processes and traces as an interaction between many objects, each with their own life cycle, as opposed to being centred around the concept of a single case. Instead of describing implicit process flows, declarative process modelling focuses on the description of processes as a set of explicit rules or constraints. The declarative Dynamic Condition Response (DCR) Graphs notation has seen wide industry adoption, in particular in the Danish public sector, has seen significant work on the development of methods for the modelling, verification, and enactment of collaborative processes, and has led to the development of the award winning DisCoveR process miner. In this paper we apply object-centric concepts to DCR Graphs modelling and mining, in particular we: (1) show an extension to DCR Graphs that allows capturing of object-centric process relations and (2) introduce a process discovery method for such object-centric DCR Graphs. We showcase these contributions on the BPIC2017 loan application log.
Original language | English |
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Title of host publication | Proceedings - 2024 6th International Conference on Process Mining, ICPM 2024 |
Editors | Xixi Lu, Luise Pufahl, Minseok Song |
Number of pages | 8 |
Publisher | IEEE |
Publication date | 2024 |
Pages | 137-144 |
ISBN (Electronic) | 9798350365030 |
DOIs | |
Publication status | Published - 2024 |
Event | 6th International Conference on Process Mining, ICPM 2024 - Kgs. Lyngby, Denmark Duration: 14 Oct 2024 → 18 Oct 2024 |
Conference
Conference | 6th International Conference on Process Mining, ICPM 2024 |
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Country/Territory | Denmark |
City | Kgs. Lyngby |
Period | 14/10/2024 → 18/10/2024 |
Sponsor | Apromore, ARIS, Celonis, et al., EY, SAP Signavio |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- declarative process models
- Dynamic Condition Response Graphs
- Object-centric
- process alignment
- process discovery
- process mining