• DocumentCode
    3209082
  • Title

    Research on the data mining technology of the e-commerce based on the interest

  • Author

    Liu, Kainan ; Zhang, Fengyan ; Pan, Wumin

  • Author_Institution
    Dept. of Comput. Sch., China Women´´s Univ., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    In this paper, the web data mining of the e-commerce is analyzed comprehensively. For the problem that the individual users hardly find the features of interest in behavioral, the association algorithm of the web is developed. By the effective use of data warehouse technology, the features of interest of users is mined to guide the organization of e-commerce sites and distribution of resources to provide the correct profit-oriented for the investors of the business-type Web site.
  • Keywords
    Web sites; consumer behaviour; data mining; data warehouses; electronic commerce; Web data mining technology; association algorithm; business type Web site; data warehouse technology; e-commerce site; Companies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643714
  • Filename
    5643714