• DocumentCode
    3464944
  • Title

    Data Mining Technology and its Application in Electronic Commerce

  • Author

    Liu Xinying ; Wang Peizhi

  • Author_Institution
    Sch. of Int. Econ. & Trade, Jinan
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As data collection and data storage rates are growing at an exponential pace in the business world in this information age, data mining is becoming a key component of electronic commerce. Trends shows definitely that future decision making system in e-commerce would weigh on even quicker and more reliable technology used for data analysis. Confronted with huge mountains of data in business transactions, we need to make better managerial choices. These needs are extraction of the "essence" of information stored, automatic classification and clustering as well as partition of data and the discovery of business intelligence and knowledge through data mining. This paper starts with a short survey of data mining and subsequently we probe into the application of data mining in e-commerce.
  • Keywords
    competitive intelligence; data mining; decision making; electronic commerce; pattern classification; pattern clustering; automatic classification; business intelligence; business transactions; data analysis; data clustering; data mining technology; decision making system; electronic commerce; Data analysis; Data mining; Databases; Decision making; Delta modulation; Electronic commerce; Gold; Memory; Pattern analysis; Probes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2186
  • Filename
    4680375