• DocumentCode
    2358864
  • Title

    ProcMiner: Advancing Process Analysis and Management

  • Author

    Nurminen, Miika ; Honkaranta, Anne ; Kärkkäinen, Tommi

  • Author_Institution
    Jyvaskyla Univ., Jyvaskyla
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    760
  • Lastpage
    769
  • Abstract
    This paper contributes both to research and practice on process mining. Previous research on process mining has focused on mining patterns from event log files to generate process models. The process mining approach adopted in this paper is focused on producing patterns about process models, not the models themselves. The approach is demonstrated by ProcMiner -an explorative research prototype for management, consolidating, publishing, retrieving, and analyzing process models. Content-based document clustering is applied to process models represented as XML database in order to find topical groups from models. In practice, organizations face numerous challenges in managing their process models. The models may be heterogeneous or ambiguous. The modeling software may change over time or due to differences in departmental purchases. ProcMiner was used in quality system development initiative at the University of Jyvaskyla The findings support previous model engineering research, showing that multiple actions are needed to ensure consistency of process models, and to make them efficiently manageable.
  • Keywords
    XML; data mining; document handling; pattern clustering; ProcMiner; XML database; content-based document clustering; event log files; pattern mining; process mining; process model; Business process re-engineering; Engineering management; Information analysis; Information technology; Power system modeling; Prototypes; Publishing; Technology management; Text mining; Total quality management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshop, 2007 IEEE 23rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-0832-0
  • Electronic_ISBN
    978-1-4244-0832-0
  • Type

    conf

  • DOI
    10.1109/ICDEW.2007.4401065
  • Filename
    4401065