• DocumentCode
    3267328
  • Title

    Application of Grey Relational Clustering and Data Mining in Data Flow of E-Commerce

  • Author

    Zhiming, Qu ; Xiaoying, Liang

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    The data mining of E-commerce is to extract implicit, valuable business and understandable information from vast information to guide future business activities. As an important branch of data mining, grey relational clustering has become a hot research spot in the field of data mining because its form is simple, easy to be interpreted and understood, and it describes the important data relationship effectively from large databases in recent years. Through grey relational clustering, it is concluded that the intrinsic link among goods, goods sale and customer, is found out, which is of very important guiding significance for personalized commodity recommendation, enterprise market positioning and the corresponding invoicing strategy in e-commerce.
  • Keywords
    data mining; electronic commerce; grey systems; pattern clustering; statistical analysis; data flow; data mining; e-commerce; enterprise market; grey relational clustering; personalized commodity recommendation; statistical analysis; Artificial intelligence; Civil engineering; Companies; Computer networks; Data engineering; Data mining; Decision making; Delta modulation; Electronic commerce; Internet; E-commerce; data flow; data mining; grey relational clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.57
  • Filename
    5231161