• DocumentCode
    3208871
  • Title

    The decision tree classification and its application research in personnel management

  • Author

    Ye, Peng

  • Author_Institution
    Huanggang Normal Univ., Huanggang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    29-31 July 2011
  • Abstract
    The decision tree classification algorithm technique is a common forecasting mode, the judgment on the date of talents recruitments, which can be used as the best talent identification, providing the reasonable and scientific supports for the talent identification. The talents recruitment is great important for the development of universities. The talent identification is accomplished by certain rules; it is difficult to ensure a comprehensive, scientific and accurate recognition result. But, the decision tree classification obtained the advantages of visual expression directly, transforming into a standard database query easily and classification model precisely, so it is widely used in the massive data analysis.
  • Keywords
    decision trees; educational institutions; forecasting theory; pattern classification; personnel; recruitment; data analysis; decision tree classification algorithm; forecasting mode; personnel management; standard database query; talent identification; talent recruitment; visual expression; Classification algorithms; Databases; Decision making; Educational institutions; Humans; Medical services; Personnel; algorithm C4.5; application; data mining; decision tree classification; personnel management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Optoelectronics (ICEOE), 2011 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-61284-275-2
  • Type

    conf

  • DOI
    10.1109/ICEOE.2011.6013123
  • Filename
    6013123