• DocumentCode
    2407242
  • Title

    Research and Application of Data Mining Technique in E-commerce

  • Author

    Li, Dao-Quan ; Yang, Hua ; Li, Li-Li

  • Author_Institution
    Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    4295
  • Lastpage
    4298
  • Abstract
    We can find potential relationship behind the data by data mining for e-commerce, so adjust dynamically web page structure, improve service, and meet better consumer demand. This paper discusses the data resources used by data mining in e-commerce and their characteristics, gives the basic process of data mining, analysing e-commerce data mining techniques used, at last points out the current problems to be solved, which gives a better foundation for further research.
  • Keywords
    data mining; electronic commerce; consumer demand; data mining technique; data resources; e-commerce; web page structure; Algorithm design and analysis; Clustering algorithms; Computers; Data mining; Educational institutions; Internet; Software algorithms; Association Rules; Data Mining; Electronic Commerce; Multi-agent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.1079
  • Filename
    5591217