Multi-perspective process mining

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    3 Citaten (Scopus)
    54 Downloads (Pure)


    Process mining methods analyze an organization’s processes by using process execution data. During the handling of a process instance data about the execution of activities is recorded. Process mining uses such data to gain insights about the real execution of processes. In this thesis, we address research challenges in which a multi-perspective view on processes is needed and that look beyond the control-flow perspective, which defines the sequence of activities of a process. We consider problems in which multiple interacting process perspectives — in particular control-flow, data, resources, time, and functions — are considered together. The contributed methods span several types of process mining: two are concerned with conformance checking, two are process discovery techniques, and one is a decision mining method. All methods have been implemented, evaluated, and applied in the context of four case studies.

    Originele taal-2Engels
    TitelProceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018
    SubtitelSydney, Australia, September 9-14, 2018.
    RedacteurenWil van den Aalst, Fabio Casati, Raffaele Conforti, Massimiliano de Leoni, Marlon Dumas, Akhil Kumar, Jan Mendling, Surya Nepal, Brian Pentland, Barbara Weber
    Aantal pagina's5
    StatusGepubliceerd - 1 jan 2018
    EvenementDissertation Award, Demonstration, and Industrial Track at BPM, BPMTracks 2018 - Sydney, Australië
    Duur: 9 sep 201814 sep 2018

    Publicatie series

    NaamCEUR Workshop Proceedings
    ISSN van geprinte versie1613-0073


    CongresDissertation Award, Demonstration, and Industrial Track at BPM, BPMTracks 2018
    Verkorte titelBPMTracks 2018
    Internet adres


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