• DocumentCode
    475922
  • Title

    Knowledge reduction based on incremental algorithms on attribute space

  • Author

    Li, Dao-guo ; Xia, Fu-chun ; Liu, Da-wei

  • Author_Institution
    Inst. of Manage. Sci. & Inf. Eng., Hangzhou Dianzi Univ., Hangzhou
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    262
  • Lastpage
    267
  • Abstract
    Information System is a kind of important form of knowledge representation system, and most of the existing incremental algorithm investigators focus on adding objects to IS. In this paper, the change laws of the core and the reductions with increasing any attributes to a information system are discussed based on the concepts defined, then the a single attribute incremental algorithm and the many attributes incremental algorithm are presented. The examples show that the efficiency of computing of the core and the reductions of the extension information system based on the incremental algorithms may be improved.
  • Keywords
    knowledge representation; rough set theory; attribute space; information system; knowledge reduction; knowledge representation system; single attribute incremental algorithm; Conference management; Cybernetics; Information management; Information systems; Knowledge management; Machine learning; Machine learning algorithms; Rough sets; Space technology; Technology management; Attribute Reduction; Incremental Algorithm; Information System; Restrained relative positive region; Rough Sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620415
  • Filename
    4620415