• DocumentCode
    2864907
  • Title

    A New Process Mining Algorithm Based on Event Type

  • Author

    Wang, Dongyi ; Ge, Jidong ; Hu, Hao ; Luo, Bin

  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    1144
  • Lastpage
    1151
  • Abstract
    The aim of process mining is to rediscover the process model from the event log which is recorded by the information system. Although the omnipresence of the event logs in information system, rarely part of them are considered to analyze the processes. In this paper, we present a new mining algorithm based on the event type we defined. This algorithm not only can detect all of the SWF-nets and short-loops, but also can directly detect the implicit dependency. Because we can obtain more task information from the event log, we can deal with a wider subclass of WF-nets with the algorithm we have presented.
  • Keywords
    data mining; information systems; event type; information system; process mining algorithm; Business; Computational modeling; Educational institutions; Information systems; Parallel processing; Software; Synchronization; Petri net; Post-tasks; Process mining; Workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-0006-3
  • Type

    conf

  • DOI
    10.1109/DASC.2011.186
  • Filename
    6118862