Title :
Stock selection using rule induction
Author :
John, George H. ; Miller, Peter ; Kerber, Randy
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
fDate :
10/1/1996 12:00:00 AM
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;
Journal_Title :
IEEE Expert
