• DocumentCode
    3497591
  • Title

    Enhance process flexibility by case-based reasoning and process mining

  • Author

    Li, Weigang ; Ma, Chunyan

  • Author_Institution
    Coll. of Software & Microelectron., Northwestern Ploytechnical Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    486
  • Lastpage
    489
  • Abstract
    Current process models are hard to describe uncertain factors in applications before run-time, which results in inflexibility of Process-Aware Information Systems. For this problem, a method to achieve process flexibility by underspecification based on so-called flexible block was proposed. The flexible block is running in ad hoc manner firstly, then it´s inside process structure is gotten through process mining after the running history data accumulated to a degree. And then, the application scenarios were matched, and the process model of flexible block was educed through interactive case-based reasoning. Practices indicate the approach proposed by this paper can reuse the modeling knowledge very well. Modeling efficiency of flexible block is improved along with the increase of its executing times. The business process models contained flexible blocks are with high flexibility.
  • Keywords
    business data processing; case-based reasoning; data mining; business process model; flexible block; history data; interactive case-based reasoning; modeling knowledge; process flexibility; process mining; process-aware information system; Application software; Business; Communication system control; Communication system software; Educational institutions; History; Management information systems; Microelectronics; Process design; Runtime; business process model; flexibility; interactive case-based reasoning; process mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5267475
  • Filename
    5267475