• DocumentCode
    2148018
  • Title

    A New Method of Data Reduction in Inconsistent Decision Tables

  • Author

    Deng, Shaobo ; Li, Min ; Guan, SuJie ; Chen, Lian

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Nanchang Inst. of Technol., Nanchang, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    For inconsistent decision tables, this paper presents a new data reduction idea. Compared with the traditional data reduction method, the first step in this paper is attribute value reduction, then this paper simply deletes the inconsistent individuals sets. The last step is attribute reduction, which could avoid the negative factor of inconsistent individuals set.
  • Keywords
    data reduction; decision tables; attribute value reduction; data reduction; inconsistent decision tables; inconsistent individuals set; Cognition; Complexity theory; Computer science; Computers; Partitioning algorithms; Pattern recognition; Set theory; Rough set; attribute reduction; inconsistent decision table;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.37
  • Filename
    5576172