• DocumentCode
    2514159
  • Title

    Research of an improved cure algorithm used in enterprise competitive intelligence to dynamic identify analysis

  • Author

    Yan, Zhao

  • Author_Institution
    Dept. of Comput. Sci. & Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
  • fYear
    2010
  • fDate
    28-30 Nov. 2010
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    In order to make out the competitive landscape by identifying analysis information of business competitor, an improved CURE algorithm is used in this paper. By assigning weight value to identify element , the method overcomes the limits of representative point lack of represent. And the dynamic adjust of the weight value increases the flexibility of clustering. For the initial clustering results, further small class merged. It overcomes the unreasonable result by the shortest distance replaced with the similarity of two classes in this process. Finally, the result displayed by visual means. Theory analysis and experiment result show that it is a validate method to dynamic identifying analysis of competitor for enterprise.
  • Keywords
    competitive intelligence; pattern clustering; business competitor; clustering; competitive landscape; dynamic identify analysis; enterprise competitive intelligence; improved CURE algorithm; shortest distance; Algorithm design and analysis; Clustering algorithms; Correlation; Heuristic algorithms; Merging; Object recognition; Presses; CURE Algorithm; Competitor; Identifying Element; Similarity; Weight Value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8883-4
  • Type

    conf

  • DOI
    10.1109/YCICT.2010.5713104
  • Filename
    5713104