• DocumentCode
    1925927
  • Title

    Application of Fuzzy Data Mining in Staff Performance Assessment

  • Author

    Hou, Xiang-Dan ; Dong, Yong-Feng ; Liu, Hong-Pu ; Gu, Jun-hua

  • Author_Institution
    Hebei Univ. of Technol., Tianjin
  • Volume
    2
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    835
  • Lastpage
    838
  • Abstract
    Due to the increasing study of manpower resource, mining useful information and helpful knowledge from databases are evolving into an important research area. In this paper we use fuzzy data mining algorithm to analyze the performance assessment of staffs in enterprise, grasp the structure of enterprise staffs, and then predict the performance of new staffs. The ability of the algorithm is tested experimentally and gives encouraging results.
  • Keywords
    data mining; fuzzy set theory; organisational aspects; personnel; enterprise staffs; fuzzy data mining; manpower resource; staff performance assessment; useful information mining; Algorithm design and analysis; Cleaning; Cybernetics; Data analysis; Data mining; Electronic mail; Machine learning; Performance analysis; Testing; Transaction databases; Clustering analysis; Fuzzy data mining; Performance Assessment of staffs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370258
  • Filename
    4370258
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1925927