Multi-instance mining: discovering synchronisation in artifact-centric processes

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Samenvatting

In complex systems one can often identify various entities or artifacts. The lifecycles of these artifacts and the loosely coupled interactions between them define the system behavior. The analysis of such artifact system behavior with traditional process discovery techniques is often problematic due to the existence of many-to-many relationships between artifacts, resulting in models that are difficult to understand and statistics that are inaccurate. The aim of this work is to address these issues and enable the calculation of statistics regarding the synchronisation of behaviour between artifact instances. By using a Petri net formalisation with step sequence execution semantics to support true concurrency, we create state-based artifact lifecycle models that support many-to-many relations between artifacts. The approach has been implemented as an interactive visualisation in ProM and evaluated using real-life public data.

Originele taal-2Engels
TitelBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
RedacteurenFlorian Daniel, Quan Z. Sheng, Hamid Motahari
Plaats van productieCham
UitgeverijSpringer
Pagina's18-30
Aantal pagina's13
ISBN van elektronische versie978-3-030-11641-5
ISBN van geprinte versie978-3-030-11640-8
DOI's
StatusGepubliceerd - 1 jan 2019
Evenement16th International Conference on Business Process Management, BPM 2018 - Sydney, Australië
Duur: 9 sep 201814 sep 2018

Publicatie series

NaamLecture Notes in Business Information Processing
Volume342
ISSN van geprinte versie1865-1348

Congres

Congres16th International Conference on Business Process Management, BPM 2018
LandAustralië
StadSydney
Periode9/09/1814/09/18

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  • Citeer dit

    van Eck, M. L., Sidorova, N., & van der Aalst, W. M. P. (2019). Multi-instance mining: discovering synchronisation in artifact-centric processes. In F. Daniel, Q. Z. Sheng, & H. Motahari (editors), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers (blz. 18-30). (Lecture Notes in Business Information Processing; Vol. 342). Springer. https://doi.org/10.1007/978-3-030-11641-5_2