• DocumentCode
    1965351
  • Title

    Research on Data Mining in E-business Websites

  • Author

    Hanyang, Luo ; Jinling, Gao ; Wenli, Ji

  • Author_Institution
    Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    336
  • Lastpage
    339
  • Abstract
    With the rapid development of e-business, more and more customer data accumulate daily in Websitespsila background databases. Data mining is thus used to analyze customerspsila buying behaviors and consuming habits to better understand their needs. The authors introduce the data source of data mining in E-business Websites, and then present an architecture that consists of three main components: business data definition, customer interaction, data analysis, and three data transfer processes: data preparation, data warehouse construction and results deployment. Finally several main methods of data mining in e-business Websites, including characterization and discrimination, association analysis, cluster analysis, are clarified.
  • Keywords
    Internet; data mining; electronic commerce; association analysis; business data definition; cluster analysis; customer interaction; customers buying behaviors; data analysis; data mining; data preparation; data transfer process; data warehouse; e-business Websites; Authorization; Computer science; Data analysis; Data mining; Data warehouses; Databases; Educational institutions; File servers; Software engineering; Web server; E-business; architecture; data mining; method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1348
  • Filename
    4722629