• DocumentCode
    658468
  • Title

    Business Rule Patterns and Their Application to Process Analytics

  • Author

    Caron, Francois ; Vanthienen, Jan ; Baesens, Bart

  • Author_Institution
    Fac. of Bus. & Econ., KU Leuven, Leuven, Belgium
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    13
  • Lastpage
    20
  • Abstract
    The advanced rule-based compliance checking approach enables a timely investigation of a complete set of enriched process event data. By providing more than sixty formally grounded business rule patterns, we are able to remove the partial fit between the abilities of traditional process mining techniques and the contemporary requirements of compliance checking. In this contribution we demonstrate the applicability of the approach on two case studies: a purchase-to-pay process and a reimbursement process.
  • Keywords
    business data processing; data mining; analytic application process; business rule patterns; compliance checking; data process; process mining techniques; purchase-to-pay process; reimbursement process; Authorization; Business; Context; Integrated circuits; Process control; Registers; Taxonomy; Business rules; Compliance checking; Enterprise systems; Process mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2013 17th IEEE International
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/EDOCW.2013.9
  • Filename
    6690529