GRaCCE: A Genetic Environment for Data Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Robert E. Marmelstein",
  title =        "GRaCCE: A Genetic Environment for Data Mining",
  booktitle =    "Late Breaking Papers at the Genetic Programming 1998
  year =         "1998",
  editor =       "John R. Koza",
  pages =        "143",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "Stanford, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Stanford University Bookstore",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "1 page",
  long_abstract = "Data mining is the automated search for interesting
                 and useful relationships between attributes in
                 databases. In this regard, the rules used by
                 classifiers are inherently interesting because they
                 distinguish between similar looking data of differing
                 class. In this paper, we introduce the Genetic Rule and
                 Classifier Construction Environment (GRaCCE) as a means
                 for extracting classification rules from data. GRaCCE
                 uses a multi-stage, Genetic Algorithm (GA) based
                 approach to first reduce the...",
  notes =        "Nov 2012
                 appears to be a longer (6 page) version of one page
                 that is actually in the GP-98 late breaking book. See
                 also \cite{Marmelstein:1998:GPCEE}


Genetic Programming entries for Robert Evan Marmelstein