• DocumentCode
    2132581
  • Title

    Business Rules Discovery from Process Design Repositories

  • Author

    Polpinij, Jantima ; Ghose, Aditya K. ; Dam, Hoa Khanh

  • Author_Institution
    Decision Syst. Lab. (DSL), Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2010
  • fDate
    5-10 July 2010
  • Firstpage
    614
  • Lastpage
    620
  • Abstract
    Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, and modifying process designs.
  • Keywords
    business data processing; data mining; Apriori algorithm; business rules; process design repositories; process mining; rule discovery; Algorithm design and analysis; Association rules; Logic gates; Organizations; Process design; Business Rules; Process Designs; the Apriori Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES-1), 2010 6th World Congress on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-8199-6
  • Electronic_ISBN
    978-0-7695-4129-7
  • Type

    conf

  • DOI
    10.1109/SERVICES.2010.73
  • Filename
    5575506