• DocumentCode
    428755
  • Title

    WebCom Miner - a system of trends analysis for company products

  • Author

    Shang, Wenqian ; Zhu, Haibin ; Huang, Houkuan

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., China
  • Volume
    5
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    4084
  • Abstract
    With advances of the Web, e-commerce comes to flourish. More and more companies, governments and individuals publish their information on the Internet. How could a company survive in this virtual world? It´s an urgent problem to solve. So we design a novel mining system - WebCom Miner to help the company´s decision-maker to make a scientific decision-making. This work presents the architecture of the system, the function of every part of the system, along with the basic method. The aim is to support the decision-maker to make a proper decision-making. Each part of the system gives a report of trend analysis and the system gives a friendly interface and can communicate with the user. Even part of the system adopt different mining algorithm, ensuring the system to ruin in high efficiency and precision.
  • Keywords
    Internet; data mining; decision making; electronic commerce; information resources; Internet; WebCom Miner; data mining system; e-commerce; trend analysis; Business; Companies; Computer science; Data analysis; Data mining; Decision making; Government; Internet; Technological innovation; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1401170
  • Filename
    1401170