Subgroup discovery in process mining

M. Fani Sani, W.M.P. van der Aalst, A.J. Bolt Irondo, J. García-Algarra

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)
    8 Downloads (Pure)

    Abstract

    Process mining enables multiple types of process analysis based on event data. In many scenarios, there are interesting subsets of cases that have deviations or that are delayed. Identifying such subsets and comparing process mining results is a key step in any process mining project. We aim to find the statistically most interesting patterns of a subset of cases. These subsets can be created by process mining algorithms features (e.g., conformance checking diagnostics) and serve as input for other process mining techniques. We apply subgroup discovery in the process mining domain to generate actionable insights like patterns in deviating cases. Our approach is supported by the ProM framework. For evaluation, an experiment has been conducted using event data from a large Spanish telecommunications company. The results indicate that using subgroup discovery, we could extract interesting insights that could only be found by spitting the event data in the right manner.

    Original languageEnglish
    Title of host publicationBusiness Information Systems
    Subtitle of host publication20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings
    EditorsW. Abramowicz
    Place of PublicationDordrecht
    PublisherSpringer
    Pages237-252
    Number of pages16
    ISBN (Electronic)978-3-319-59336-4
    ISBN (Print)978-3-319-59335-7
    DOIs
    Publication statusPublished - 2017
    Event20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland - Poznan, Poland
    Duration: 28 Jun 201730 Jun 2017
    http://bis.ue.poznan.pl/bis2017/
    http://bis.kie.ue.poznan.pl/bis2017/

    Publication series

    NameLecture Notes in Business Information Processing
    Volume288
    ISSN (Print)1865-1348

    Conference

    Conference20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland
    Abbreviated titleBIS 2017
    CountryPoland
    CityPoznan
    Period28/06/1730/06/17
    Internet address

    Keywords

    • Pattern mining
    • Performance management
    • Process mining
    • Quality of metrics
    • Subgroup discovery

    Fingerprint

    Dive into the research topics of 'Subgroup discovery in process mining'. Together they form a unique fingerprint.

    Cite this