• DocumentCode
    3563941
  • Title

    Some properties of interrelated attributes in relative reducts for interrelationship mining

  • Author

    Kudo, Yasuo ; Murai, Tetsuya

  • Author_Institution
    Coll. of Inf. & Syst., Muraran Inst. of Technol., Muraran, Japan
  • fYear
    2014
  • Firstpage
    998
  • Lastpage
    1001
  • Abstract
    Interrelationship mining, proposed by the authors, enables us to extract characteristics based on comparison between values of different attributes. One of the main ideas of the interrelationship mining is to explicitly represent characteristics based on comparison between values of different attributes by new attributes called interrelated attributes. In this paper, we discuss properties of interrelated attributes that appear in relative reducts.
  • Keywords
    data mining; data reduction; rough set theory; interrelated attributes; interrelationship mining; relative reducts; rough set theory; Data analysis; Data mining; Educational institutions; Electronic mail; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044897
  • Filename
    7044897
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3563941