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

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    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.

    Original languageEnglish
    Title of host publicationBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
    EditorsFlorian Daniel, Quan Z. Sheng, Hamid Motahari
    Place of PublicationCham
    Number of pages13
    ISBN (Electronic)978-3-030-11641-5
    ISBN (Print)978-3-030-11640-8
    Publication statusPublished - 1 Jan 2019
    Event16th International Conference on Business Process Management, BPM 2018 - Sydney, Australia
    Duration: 9 Sep 201814 Sep 2018

    Publication series

    NameLecture Notes in Business Information Processing
    ISSN (Print)1865-1348


    Conference16th International Conference on Business Process Management, BPM 2018

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