Composite state machine miner: Discovering and exploring multi-perspective processes

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    Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discover state-based models for processes where different facets, or perspectives, of the process can be identified. In this paper we describe an interactive process discovery tool that can be used to discover and explore state-based models for such multi-perspective processes: the Composite State Machine Miner. It quantifies and visualises the interactions between perspectives to provide additional process insights. This tool has been used to analyse the BPI Challenge 2012 data of a loan application process and product user behaviour data gathered by Philips during the development of a smart baby bottle equipped with various sensors.

    Original languageEnglish
    Title of host publicationProceedings of the BPM Demo Track 2016
    EditorsL. Azevedo, C. Cabanillas
    Number of pages5
    Publication statusPublished - 2016
    Event14th International Conference on Business Process Management (BPM 2016) - Rio de Janeiro, Brazil
    Duration: 18 Sep 201622 Sep 2016
    Conference number: 14

    Publication series

    NameCEUR Workshop Proceedings
    ISSN (Print)1613-0073


    Conference14th International Conference on Business Process Management (BPM 2016)
    Abbreviated titleBPM 2016
    CityRio de Janeiro
    Other2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016
    Internet address


    • Interactive process exploration
    • Multi-perspective processes
    • Process discovery
    • State-based models


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