• DocumentCode
    176719
  • Title

    International trade e-commerce based on data mining

  • Author

    Dai Ting

  • Author_Institution
    Jiangxi Coll. of Foreign Study, Nanchang, China
  • fYear
    2014
  • fDate
    29-30 Sept. 2014
  • Firstpage
    703
  • Lastpage
    705
  • Abstract
    Electric commerce is a fire-new business mode, and data mining is a promising new technology to transact information. With business information and data being increased exponentially, it is becoming a hot issue for corporations to analyze and utilize the information. This paper firstly describes international trade e-commerce, and discusses the function and the process of data mining. At last, it discusses an algorithm of data mining.
  • Keywords
    data mining; electronic commerce; international trade; business information; data mining; fire-new business mode; international trade e-commerce; Association rules; Companies; Databases; Educational institutions; International trade; Data Mining; International Trade E-commerce; The association algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/WARTIA.2014.6976362
  • Filename
    6976362
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=176719