• DocumentCode
    1386630
  • Title

    Stock selection using rule induction

  • Author

    John, George H. ; Miller, Peter ; Kerber, Randy

  • Author_Institution
    Dept. of Comput. Sci., Stanford Univ., CA, USA
  • Volume
    11
  • Issue
    5
  • fYear
    1996
  • fDate
    10/1/1996 12:00:00 AM
  • Firstpage
    52
  • Lastpage
    58
  • Abstract
    High-quality financial databases have existed for many years, but human analysts can only scratch the surface of the wealth of knowledge buried in this data. Using the rule-induction technology in the Recon data-mining system, an investment strategy based purely on the learned rules can generate significant profits
  • Keywords
    economics; financial data processing; knowledge acquisition; knowledge based systems; learning (artificial intelligence); stock markets; very large databases; Recon; Recon data-mining system; financial databases; investment strategy; learned rules; rule induction; stock selection; Artificial intelligence; Bonding; Data analysis; Humans; Induction generators; Investments; Pattern analysis; Predictive models; Spatial databases; Visual databases;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.539017
  • Filename
    539017