• DocumentCode
    2299098
  • Title

    Mining Process Variants: Goals and Issues

  • Author

    Li, Chen ; Reichert, Manfred ; Wombacher, Andreas

  • Author_Institution
    Univ. of Twente, Enschede
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Firstpage
    573
  • Lastpage
    576
  • Abstract
    Recently, process-aware information systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model variants, which are difficult to maintain and expensive to configure. This paper deals with goals and issues related to the mining of process model variants. Our overall goal is to learn from process changes and to "merge" the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease.
  • Keywords
    business data processing; data mining; information systems; PAIS; dynamic process; mining process variants; process adaptations; process-aware information systems; Costs; Hospitals; Information systems; Medical treatment; Monitoring; High-level Change; Process Configuration; Process Variants; process variant mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2008. SCC '08. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-0-7695-3283-7
  • Type

    conf

  • DOI
    10.1109/SCC.2008.103
  • Filename
    4578584