• DocumentCode
    2919396
  • Title

    The Application of Web Data Mining Technique in Competitive Intelligence System of Enterprise Based on XML

  • Author

    Ting, Chen ; Xiao, Niu ; Weiping, Yang

  • Author_Institution
    Fac. of Mech. & Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    396
  • Lastpage
    399
  • Abstract
    In order to response the increased competition, improve the correctness and timeliness of decision-making, enterprises need to make efficient data analysis techniques and methods used in competitive intelligence system. XML combines with Web data mining technology can effectively solve many problems faced by Web data mining, significantly improve the efficiency and effect of collection and analysis of competitive intelligence system of enterprise. Then help enterprises win the competitive advantage. Based on the analysis of the existed problems of data mining under web environment, this paper brief introduces competitive intelligence system, XML and Web data mining technology, focused on the specific application and the process of realization of XML and Web data mining technology in competitive intelligence system. Due to the study of this paper, it will provide a reference for the construction and implementation of competitive intelligence system of enterprise based on XML and Web data mining technology.
  • Keywords
    Internet; XML; business data processing; competitive intelligence; data mining; enterprise resource planning; Web data mining; XML; competitive intelligence system; data analysis; enterprise competition; Competitive intelligence; Data analysis; Data mining; Decision making; Electronic mail; Information analysis; Internet; Search engines; Spatial databases; XML; XML; competitive intelligence system; web data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.44
  • Filename
    5369542