• DocumentCode
    3038003
  • Title

    Organizational Structure Mining Based on Workflow Logs

  • Author

    Gao, Ang ; Yang, Yang ; Zeng, Ming ; Zhang, Jing-Le ; Wang, Yue-Wei

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    455
  • Lastpage
    459
  • Abstract
    In order to mining the organizational setting and interactions among coworkers from workflow logs, we define metrics to establish the relationships among originators by analyzing the information in the workflow logs. Three methods for mining organizational structure from workflow logs are presented in this paper, default mining, mining based on the similarity of activities and mining based on the similarity of cases. By applying these methods, we can construct the corresponding organizational network which reflects the organizational entities involved in the workflow process and corrects presented the organizational structure. In the end of the paper, we give an example to explain it.
  • Keywords
    commerce; organisational aspects; default mining; information analysis; organizational entities; organizational structure mining; workflow logs; Authorization; Automatic control; Customer service; Delay; Enterprise resource planning; Information analysis; Information processing; Information security; Intelligent structures; Marine technology; organizational network; organizational structure mining; process mining; workflow logs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.109
  • Filename
    5208847