Fundamental Analysis Using Genetic Programming for Classification Rule Induction

Created by W.Langdon from gp-bibliography.bib Revision:1.7954

@InCollection{doherty:2003:FAUGPCRI,

• author = "C. Gregory Doherty",
• title = "Fundamental Analysis Using Genetic Programming for Classification Rule Induction",
• booktitle = "Genetic Algorithms and Genetic Programming at Stanford 2003",
• year = "2003",
• editor = "John R. Koza",
• pages = "45--51",
• address = "Stanford, California, 94305-3079 USA",
• month = "4 " # dec,
• publisher = "Stanford Bookstore",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.genetic-programming.org/sp2003/Doherty.pdf",
• size = "7 pages",
• abstract = "This paper details the application of a genetic programming framework for induction of useful classification rules from a database of income statements, balance sheets, and cash flow statements for North American public companies. Potentially interesting classification rules are discovered. Anomalies in the discovery process merit further investigation of the application of genetic programming to the dataset for the problem domain.",
• notes = "part of \cite{koza:2003:gagp}",

}

Genetic Programming entries for C Gregory Doherty

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