• DocumentCode
    3321289
  • Title

    Consumers´ behavior on web based on data mining

  • Author

    Ge, Yan

  • Author_Institution
    Sch. of Bus. Adm., Shandong Univ. of Finance, Jinan, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    With the advance of the process of information, the need that how the business Web site extracts the valuable information from the huge amounts of data highlights. By data mining technology we can automatically analyze data, make inductive reasoning, excavate characteristics and classification of Web users´ consumption behaviors, quantify Web consumption tendency and evaluation in order to effectively grasp the Web users´ consumption expectations and value orientation to provide users with better personalized services for the competitiveness of e-commerce businesses.
  • Keywords
    Web sites; consumer behaviour; data mining; electronic commerce; business Web site; consumer behavior; data mining; e-commerce business; inductive reasoning; information extraction; Algorithm design and analysis; Association rules; Business; Data analysis; Data mining; Data preprocessing; Delta modulation; Electronic commerce; Finance; History; data mining; genetic algorithm; network consumption behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5235087
  • Filename
    5235087