• DocumentCode
    33912
  • Title

    Service Mining: Using Process Mining to Discover, Check, and Improve Service Behavior

  • Author

    Van Der Aalst, Wil

  • Author_Institution
    Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • Volume
    6
  • Issue
    4
  • fYear
    2013
  • fDate
    Oct.-Dec. 2013
  • Firstpage
    525
  • Lastpage
    535
  • Abstract
    Web services are an emerging technology to implement and integrate business processes within and across enterprises. Service orientation can be used to decompose complex systems into loosely coupled software components that may run remotely. However, the distributed nature of services complicates the design and analysis of service-oriented systems that support end-to-end business processes. Fortunately, services leave trails in so-called event logs and recent breakthroughs in process mining research make it possible to discover, analyze, and improve business processes based on such logs. Recently, the task force on process mining released the process mining manifesto. This manifesto is supported by 53 organizations and 77 process mining experts contributed to it. The active participation from end-users, tool vendors, consultants, analysts, and researchers illustrate the growing significance of process mining as a bridge between data mining and business process modeling. In this paper, we focus on the opportunities and challenges for service mining, i.e., applying process mining techniques to services. We discuss the guiding principles and challenges listed in the process mining manifesto and also highlight challenges specific for service-orientated systems.
  • Keywords
    Web services; business data processing; data mining; Web services; business process modeling; complex systems; data mining; end-to-end business processes; end-users; enterprises; event logs; process mining experts; process mining manifesto; service behavior; service mining; service orientation; service-oriented systems; software components; task force; tool vendors; Analytical models; Computational modeling; Context; Customer services; Data mining; Web services; Process mining; business process management; conformance checking; service discovery;
  • fLanguage
    English
  • Journal_Title
    Services Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1374
  • Type

    jour

  • DOI
    10.1109/TSC.2012.25
  • Filename
    6275430