• DocumentCode
    1831536
  • Title

    A review of process mining algorithms

  • Author

    Yue, Dianmin ; Wu, Xiaodan ; Wang, Haiyan ; Bai, Junbo

  • Author_Institution
    Sch. of Manage., Heibei Univ. of Technol., Tianjin, China
  • Volume
    5
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    181
  • Lastpage
    185
  • Abstract
    Process mining has been widely applied in lots of fields, which can discover workflow models from event logs, helps to design or re-design process models, and brings convenience to workflow management system. The main function of process mining algorithms is to provide us with valuable objective information hidden in event logs, which plays a crucial important role on the implementation of new operation business process, and audit, analysis and improvement of the existing ones. In this paper, we firstly describe the application background of process mining technology, and then list the frame structure of the technology at home and abroad, followed by summarizing and analyzing the algorithm of important domestic and abroad research, and forecast the future direction for research at last.
  • Keywords
    data mining; workflow management software; business process; event log; objective information; process mining algorithms; workflow management system; workflow model; Algorithm design and analysis; Business; Clustering algorithms; Computational modeling; Computers; Data mining; Noise; Petri net; event log; process mining algorithm; workflow net;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5914454
  • Filename
    5914454