• DocumentCode
    2546057
  • Title

    A discovery method of organization structure model based on causal similarity in BPMS

  • Author

    Li, Yan

  • Author_Institution
    Sch. of Econ. & Manage., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1448
  • Lastpage
    1451
  • Abstract
    Team organization structure is more suitable for implementation of e-business. However the existing organizational structure modeling methods are difficult to model team structure. In business process management system (BPMS) there are a large number of event logs recording the performers and corresponding activities. Usually if the causality of performers is similar, they can be classified as a same team. Therefore this paper designs a modeling method of team organization structure based on causal similarity among performers from event logs in BPMS. Firstly, the causality mining rules are designed; secondly, the measures of the causal similarity among performers are given; at last, a team organization structure can be modeled based on causal similarity.
  • Keywords
    business data processing; data mining; organisational aspects; BPMS; business process management system; causal similarity; causality mining rules; e-business; event logs; team organization structure model; Data mining; Educational institutions; High definition video; Information systems; Organizations; Social network services; business process management system; causal similarity; event logs; team organization structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6233992
  • Filename
    6233992