• DocumentCode
    2971331
  • Title

    Process mining in business process management: Concepts and challenges

  • Author

    Saylam, Rabia ; Sahingoz, Ozgur Koray

  • Author_Institution
    Dept. of Comput. Eng., Turkish Air Force Acad., Istanbul, Turkey
  • fYear
    2013
  • fDate
    7-9 Nov. 2013
  • Firstpage
    131
  • Lastpage
    134
  • Abstract
    Process mining is an emerging research area that aims to improve the analysis of Business Process Models (BPMs) by extracting knowledge from event logs. What actually happened in the organization is set forth for consideration, not what people think about the organization. Therefore, it can be used in various industrial and scientific applications. This paper aims to provide information about the process mining concept, by revealing the differences with data mining, which is more commonly known in the literature, to point out the challenges in the use of BPM, to introduce the studies on this subject, to serve as a guide and to provide meta-information for researchers, scientists, software developers, etc. who are interested in the process mining.
  • Keywords
    business data processing; data mining; knowledge management; BPM; business process management; business process models; data mining; event logs; industrial applications; knowledge extraction; meta-information; organization; process mining; scientific applications; Analytical models; Business; Data mining; Data models; Process control; Software; Unified modeling language; Data Mining; Process Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Computation (ICECCO), 2013 International Conference on
  • Conference_Location
    Ankara
  • Type

    conf

  • DOI
    10.1109/ICECCO.2013.6718246
  • Filename
    6718246