• DocumentCode
    3029135
  • Title

    Statistical independence in three-variables contingency cube

  • Author

    Tsumoto, Shusaku ; Hirano, Shoji

  • Author_Institution
    Dept. of Med. Inf., Shimane Univ., Izumo
  • fYear
    2008
  • fDate
    14-16 Aug. 2008
  • Firstpage
    468
  • Lastpage
    474
  • Abstract
    This paper focuses on statistical independence of three variables in contingency data cube. While information granules of statistical independence of two variables can be viewed as determinants of 2 times 2- submatrices, those of three variables consist of several combination s of odds ratios. Thus, the determinants of 2 times 2-submatrices are regarded as special cases of odds ratios of multivarite cases.
  • Keywords
    matrix algebra; statistical analysis; contingency data cube; information granules; multivarite cases; statistical independence; submatrices; Biomedical informatics; Bismuth; Cognitive informatics; Data mining; Matrices; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2008. ICCI 2008. 7th IEEE International Conference on
  • Conference_Location
    Stanford, CA
  • Print_ISBN
    978-1-4244-2538-9
  • Type

    conf

  • DOI
    10.1109/COGINF.2008.4639203
  • Filename
    4639203