• DocumentCode
    2563571
  • Title

    A New Attribute Reduction Algorithm in Continuous Information Systems

  • Author

    Lv, Yue-jin ; Zhang, Hong-yun ; Quan, Fen ; Chen, Zhi-cheng

  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    196
  • Lastpage
    200
  • Abstract
    This paper puts forward a new method of discretizing continuous attributes. Compared with the traditional approach, the method, proposed in this paper, can make the number of the obtained classes be more moderate, as well as the lost information be fewer. And then a simple attribute reduction algorithm is developed in continuous information systems. Finally, a real example is used to illustrate its feasibility and effectiveness, respectively.
  • Keywords
    Artificial intelligence; Computational intelligence; Information science; Information security; Information systems; Mathematics; Paper technology; Pattern recognition; Set theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2007 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7695-3072-9
  • Electronic_ISBN
    978-0-7695-3072-7
  • Type

    conf

  • DOI
    10.1109/CIS.2007.191
  • Filename
    4415330