Evolution of Compliance Checking in Process Mining Discipline

Moustafa Elhagaly, Karlo Drvoderic, Richard G. Kippers, Faiza Allah Bukhsh

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

    Abstract

    Process Mining as a discipline is based on Business Process Management where techniques and tools are used for knowledge generation. One important aspect of process mining is compliance checking which is founded over concepts of Audit 2.0. Where the "As-is" state of a business is compared with the "To-be" state of the business. In Compliance Checking behaviour of process models is compared to the event logs of said process. How to perform this comparison is a big concern of the business process management community. There exist many techniques but which technique is suitable when and where is the question addressed in this paper. Furthermore, this paper aims to discuss the gradual introduction of techniques in Compliance Checking as well as identifying the research gaps in the area.
    Original languageEnglish
    Title of host publication 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
    PublisherIEEE
    ISBN (Electronic)978-1-5386-9509-8
    ISBN (Print)978-1-5386-9510-4
    DOIs
    Publication statusPublished - 25 Mar 2019
    Event2nd International Conference on Computing, Mathematics and Engineering Technologies 2019 - Sukkur, Pakistan
    Duration: 30 Jan 201931 Jan 2019
    Conference number: 2
    http://icomet.iba-suk.edu.pk/icomet2019/index.html

    Conference

    Conference2nd International Conference on Computing, Mathematics and Engineering Technologies 2019
    Abbreviated titleiCoMET 2019
    CountryPakistan
    CitySukkur
    Period30/01/1931/01/19
    Internet address

    Keywords

    • process mining
    • compliance checking
    • information auditing

    Cite this

    Elhagaly, M., Drvoderic, K., Kippers, R. G., & Bukhsh, F. A. (2019). Evolution of Compliance Checking in Process Mining Discipline. In 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) IEEE. https://doi.org/10.1109/ICOMET.2019.8673437