• DocumentCode
    3156291
  • Title

    Research on the Clustering Fusion Algorithm in Enterprises Prewarning System

  • Author

    Li, Li ; Liu, Zhan-Wei

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Henan Institue of Eng., Zhengzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    12-14 Nov. 2010
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    In order to make the enterprise develop better and faster, It´s important that making a prediction on the enterprise´s development condition by using information fusion technology, which can make prewarning about the recessive existing problems in time. In the paper, clustering fusion algorithm and its improved algorithm were analyzed, and were applied in the prewarning system of enterprise´s operation, we got enterprise´s development model. At last, the model was proved by an enterprise´s operation datum, the two fusion algorithms were applied and compared.
  • Keywords
    business data processing; information technology; pattern clustering; clustering fusion algorithm; enterprise development condition; enterprise operation datum; enterprises prewarning system; information fusion technology; prewarning system; Algorithm design and analysis; Clustering algorithms; Fluctuations; Heuristic algorithms; Indexes; Marketing and sales; Partitioning algorithms; clustering fusion algorithm; information fusion; prewarning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8664-9
  • Type

    conf

  • DOI
    10.1109/ICSEM.2010.153
  • Filename
    5640229