• DocumentCode
    2381668
  • Title

    A Quick Algorithmfor Reduction of Attribute in Information Systems

  • Author

    Lv, Yue-jin ; Li, Jin-Hai

  • Author_Institution
    Guangxi Univ., Nanning
  • fYear
    2007
  • fDate
    1-3 Nov. 2007
  • Firstpage
    98
  • Lastpage
    100
  • Abstract
    Reduction of attribute is one of the key problems in rough set theory. In this paper, Using recursive idea, we design a new approach to calculate partition U/C, whose time complexity is O(C \\U). Then two new and relatively reasonable formulas measuring attribute significance are designed for reducing searching space, which are used as heuristic information to develop a quick attribute reduction algorithm; the theoretical analysis shows that this algorithm is much less time complexity than those existed algorithms. Finally, experimental results demonstrate its feasibility and effectiveness, respectively.
  • Keywords
    computational complexity; data reduction; information systems; rough set theory; attribute reduction algorithm; information system; rough set theory; time complexity; Algorithm design and analysis; Artificial intelligence; Data privacy; Extraterrestrial measurements; Heuristic algorithms; Information systems; Mathematics; Partitioning algorithms; Set theory; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3016-1
  • Type

    conf

  • DOI
    10.1109/ISDPE.2007.83
  • Filename
    4402647