• DocumentCode
    3113933
  • Title

    A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart

  • Author

    Esgin, Eren ; Senkul, Pinar

  • Author_Institution
    Inf. Inst., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2009
  • fDate
    13-15 Dec. 2009
  • Firstpage
    664
  • Lastpage
    668
  • Abstract
    Process mining is a branch of data mining that aims to discover process model from the event logs. In this study, we propose a hybrid approach to process mining in such a way that, "from-to chart" is used as the frontend to monitor the transitions among activities of a realistic event log. Another novelty of this study is developed evaluation metrics, which are used for finding immediate successors in order to convert these raw relations into dependency/frequency graph.
  • Keywords
    business data processing; data mining; graph theory; activity transition monitoring; data mining; dependency graph; evaluation metrics; event logs; frequency graph; from-to chart; process mining; process model discovery; Concurrent computing; Connectors; Machine learning; Machine learning algorithms; Monitoring; Neural networks; Noise measurement; Petri nets; Production; Software engineering; Event Logs; From-to Chart; Immediate Successor; Process Discovery; Process Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2009. ICMLA '09. International Conference on
  • Conference_Location
    Miami Beach, FL
  • Print_ISBN
    978-0-7695-3926-3
  • Type

    conf

  • DOI
    10.1109/ICMLA.2009.107
  • Filename
    5381368
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3113933