• DocumentCode
    2821940
  • Title

    Intelligent Decision-Making System Based on Data Mining

  • Author

    Shang, Wenqian ; Dong, Hongbin ; Zhu, Haibin

  • Author_Institution
    Sch. of Comput., Commun. Univ. of China, Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    360
  • Lastpage
    364
  • Abstract
    With the development of the Web, more and more companies, governments and individuals publish their information on the Internet. Even very small companies are enabled to present their products and services in the World Wide Web. How could a company survive in this virtual world? How could it catch the first commercial opportunity? How could it find the best cooperative partner? How could it capture the clients? How could it earn the maximal profits? These are all urgent challenges to companies. So how to use the data inside and outside of company enough, to help the decision-maker make reasonable decision is becoming an urgent challenge. For this aim, we design a novel decision support system----WebCom Miner. This paper presents the design and implementation of the system in detail and demonstrates the key algorithms used in the system.
  • Keywords
    Internet; data mining; decision making; decision support systems; Internet; WebCom Miner; World Wide Web; commercial opportunity; cooperative partner; data mining; decision support system; intelligent decision-making system; profit; virtual world; Computational intelligence; Data mining; Decision making; Electronic mail; Government; Intelligent systems; Internet; Search engines; Service oriented architecture; Web sites; Data Mining; Decision-making System; Gini index; Text categorization; Text preprocessing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.36
  • Filename
    5193971