• DocumentCode
    2093121
  • Title

    A Fast Enumeration Algorithm for Attribute Reduction Based on Grouping

  • Author

    Wei, Xiao ; Xu, Ning

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Eng., Shanghai Inst. of Technol., Shanghai, China
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    When studying attribute reduction, we need to enumerate all the minimal reductions to prove the correctness of the attribute reduction algorithm. The explosion of attributes combination makes time complexity of the enumeration algorithm pretty high. An algorithm derived from grouping the rows of decision table is put forward to validate if an attribute set is reduction. Based on this algorithm, a fast algorithm for seeking core attribute is put forward too. And by optimizing the process of enumeration, the quantity of enumeration is reduced and the time of enumeration is reduced to acceptable scope.
  • Keywords
    computational complexity; data mining; decision tables; rough set theory; attribute set reduction; decision table; fast enumeration algorithm; grouping method; rough set theory; time complexity; Computer science; Explosions; Information systems; NP-hard problem; core attributes; fast enumeration algorithm; minimal attribute reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.105
  • Filename
    4731471