• DocumentCode
    1590753
  • Title

    The Data Mining System Based on Multi-agent under the Circumstance of E-commerce

  • Author

    Cen, Qin ; Zhao, Jianmin ; Zhu, Xinzhong

  • Author_Institution
    Zhejiang Normal Univ., Jinhua
  • Volume
    3
  • fYear
    2007
  • Firstpage
    34
  • Lastpage
    38
  • Abstract
    The development of computer science and network technology, and the rapid emergence of e-commerce bring limitless business opportunity to trade company. For the trade company, any consumer-related information is very valuable, but searching for the enormous amount of data restricts the development of e-commerce. The combination of data mining technology with multi- agent technology can decrease the amount of data transmission, lighten network load, improve mining performance and effectively guarantee the security of the data. This paper has introduced the performance of every agent in detail and the basic thoughts of the mining method adopted. Furthermore, in view of the business backgrounds and characteristics of e-commerce trade, we design the data mining system based on multi-agent under the circumstance of e-commerce. It can achieve the goal of mining data accurately and effectively, and offer the personalized service to users, and improve operational efficiency for system.
  • Keywords
    data mining; electronic commerce; multi-agent systems; computer science; consumer-related information; data mining system; data mining technology; e-commerce; multiagent technology; network technology; trade company; Artificial intelligence; Companies; Computer science; Data communication; Data engineering; Data mining; Data security; Electronic commerce; Information science; Internet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.715
  • Filename
    4344473