Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{series/springer/PappaF08,
  title =        "Discovering New Rule Induction Algorithms with
                 Grammar-based Genetic Programming",
  author =       "Gisele L. Pappa and Alex Alves Freitas",
  bibdate =      "2008-12-16",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/series/springer/MaimonRokach2008.html#PappaF08",
  booktitle =    "Soft Computing for Knowledge Discovery and Data
                 Mining",
  publisher =    "Springer",
  year =         "2008",
  editor =       "Oded Maimon and Lior Rokach",
  isbn13 =       "978-0-387-69934-9",
  pages =        "133--152",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-0-387-69935-6_6",
  abstract =     "Rule induction is a data mining technique used to
                 extract classification rules of the form IF
                 (conditions) THEN (predicted class) from data. The
                 majority of the rule induction algorithms found in the
                 literature follow the sequential covering strategy,
                 which essentially induces one rule at a time until
                 (almost) all the training data is covered by the
                 induced rule set. This strategy describes a basic
                 algorithm composed by several key elements, which can
                 be modified and/or extended to generate new and better
                 rule induction algorithms. With this in mind, this work
                 proposes the use of a grammar-based genetic programming
                 (GGP) algorithm to automatically discover new
                 sequential covering algorithms. The proposed system is
                 evaluated using 20 data sets, and the
                 automatically-discovered rule induction algorithms are
                 compared with four well-known human-designed rule
                 induction algorithms. Results showed that the GGP
                 system is a promising approach to effectively discover
                 new sequential covering algorithms.",
  notes =        "26 rules in grammar: table 1",
  size =         "20 pages",
}

Genetic Programming entries for Gisele L Pappa Alex Alves Freitas

Citations