• DocumentCode
    2251134
  • Title

    The Research of Process Mining Assessment Used in Business Intelligence

  • Author

    Wang, Zhenyu ; Yao, Qing ; Sun, Yuqing

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    May 30 2012-June 1 2012
  • Firstpage
    179
  • Lastpage
    183
  • Abstract
    In order to do process mining better in the Business Intelligence environment, the proper process mining model and the right evaluation method to assess the mining results become the key issues. This paper is based on both theoretical and technological achievements in process mining area, putting forward a process mining model under event log mode, providing the analysis process of selecting evaluation indicators by AHP, and gives out a set of formulas for assessing process instance combined with the vector model. For illustration, a case recorded by an insurance company handling claims lodged over the phone is utilized to show the feasibility of the given model and the formulas in solving assessment problems. Empirical results is presented as numerical data by formula assessing effectively to the new process records under specific target, it can be displayed directly for its consequence, process screening and classification, including excavation work for the follow-up by the threshold value setting can evaluate the process improvement and provide basis for decision making in further process mining work.
  • Keywords
    competitive intelligence; data mining; decision making; insurance data processing; pattern classification; AHP; business intelligence environment; decision making; evaluation indicator selection analysis process; event log mode; excavation work; insurance company claim handling; process classification; process improvement evaluation; process mining assessment; process mining model; process screening; threshold value setting; vector model; Analytical models; Bismuth; Business; Data mining; Data models; Indexes; Vectors; AHP; WPPDD; assessment; process mining; vector model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-1536-4
  • Type

    conf

  • DOI
    10.1109/ICIS.2012.109
  • Filename
    6211094