• DocumentCode
    2723207
  • Title

    Process Diagnostics: A Method Based on Process Mining

  • Author

    Bozkaya, Melike ; Gabriels, Joost ; Werf, J.

  • Author_Institution
    Lab. for Quality Software, Tech. Univ. Eindhoven, Eindhoven
  • fYear
    2009
  • fDate
    1-7 Feb. 2009
  • Firstpage
    22
  • Lastpage
    27
  • Abstract
    As organizations change, their information systems can evolve from simple systems to complex systems, which are hard to understand, and therefore hard to maintain or extend. Process mining can help organizations in trying to understand the information systems by analyzing the system.In this paper we propose a methodology to perform process diagnostics, based on process mining. Given an event log of an information system within an organization, process diagnostics gives a broad overview of the organization´s process(es) within a short period of time. In the process diagnostics methodology, several perspectives of the process are highlighted. The outcome covers the control flow perspective, the performance perspective and the organizational perspective. We used the methodology on a case study for a Dutch governmental organization.
  • Keywords
    data mining; information systems; large-scale systems; Dutch governmental organization; complex systems; information systems; organizational perspective; process diagnostics methodology; process mining; Control systems; Information analysis; Information systems; Knowledge management; Laboratories; Management information systems; PROM; Performance analysis; Software quality; Throughput; information system design; process analysis; process management; process mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Process, and Knowledge Management, 2009. eKNOW '09. International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-3362-9
  • Electronic_ISBN
    978-0-7695-3531-9
  • Type

    conf

  • DOI
    10.1109/eKNOW.2009.29
  • Filename
    4782560