• DocumentCode
    2733885
  • Title

    Predictor System for Industrial Data

  • Author

    Shobha, G.

  • Author_Institution
    R V Coll. of Eng., Bangalore
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    43
  • Lastpage
    43
  • Abstract
    In this paper, I have provided the user with adequate parameters of the various industries belonging to United States so that using these parameters the user can safely invest in an industry, which has a bright future and provides rich dividends on his investment. With this system, the user can predict the values of certain parameters, which can serve as a guideline to indicate the state of that particular industry at present and in the future.
  • Keywords
    data mining; genetic algorithms; United States; industrial data; predictor system; Art; Biological cells; Clothing industry; Data engineering; Databases; Educational institutions; Genetic algorithms; Genetic mutations; Guidelines; Investments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.462
  • Filename
    4427688