• DocumentCode
    3067040
  • Title

    Impact of Data Aggregation on the Significance of Process Mining Results: An Experimental Evaluation

  • Author

    Gerke, Kerstin

  • Author_Institution
    SAP Res. CEC Dresden, Dresden
  • fYear
    2008
  • fDate
    23-25 June 2008
  • Firstpage
    247
  • Lastpage
    248
  • Abstract
    Today, many enterprises seek for efficient business process coordination and control to raise business process quality. Process mining technologies promise significant potentials in making business process knowledge explicit. However, it appears to be important to distinguish homogeneous process structures within a business process model to manage them accordingly. In this paper we present an experimental result of the classification of business processes according to their complexity. Furthermore, we evaluate if the homogeneity of the business processes correspond to the business process models derived with process mining.
  • Keywords
    business process re-engineering; data mining; business process knowledge; business process model; business process quality; data aggregation; process mining; Business communication; Chemical technology; Collaborative work; Data mining; Databases; Information systems; PROM; Process control; Process design; System testing; Clustering; Process Complexity; Process Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2008. WETICE '08. IEEE 17th
  • Conference_Location
    Rome
  • ISSN
    1524-4547
  • Print_ISBN
    978-0-7695-3315-5
  • Type

    conf

  • DOI
    10.1109/WETICE.2008.25
  • Filename
    4806927