• DocumentCode
    1912512
  • Title

    Electronic Commerce Website Evaluation Based on Membership Transformation

  • Author

    Kaidi, Liu ; Jimei, Hao

  • Author_Institution
    Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China
  • Volume
    4
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    The core of electronic commerce website evaluation is membership transformation. But the transformation algorithm includes redundancy that is useless for classification; the existing algorithms of membership transformation are worth discussing. According to excavate the information of the object classification that hides in index membership to define the divisional right use data excavation method based on entropy to analyses the relationship between object classification and index membership; Use distinguishable weight delete redundant index membership that are useless for classification, and extract effective value in index membership that is useful for classification to calculate object membership. Based on this, a new algorithm to electronic commerce website evaluation can be established.
  • Keywords
    Web sites; classification; electronic commerce; entropy; data excavation method; distinguishable weight delete redundant index membership; divisional right; electronic commerce Web site evaluation; entropy; index membership; membership transformation; object classification; Automation; Business; Classification algorithms; Data mining; Educational institutions; Electronic commerce; Entropy; Information analysis; Mathematics; Uncertainty; comparative value; divisional right; effective value; electronic commerce website; membership transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.808
  • Filename
    5288304