Automatically Evolving Rule Induction Algorithms

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

@InProceedings{DBLP:conf/ecml/PappaF06,
  author =       "Gisele L. Pappa and Alex Alves Freitas",
  title =        "Automatically Evolving Rule Induction Algorithms",
  booktitle =    "Proceedings of the 17th European Conference on Machine
                 Learning, ECML 2006",
  editor =       "Johannes F{\"u}rnkranz and Tobias Scheffer and 
                 Myra Spiliopoulou",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4212",
  year =         "2006",
  pages =        "341--352",
  address =      "Berlin",
  month =        sep # " 18-22",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  keywords =     "genetic algorithms, genetic programming, rule
                 induction algorithms, data mining, grammar-based
                 genetic programming",
  ISSN =         "0302-9743",
  ISBN =         "3-540-45375-X",
  DOI =          "doi:10.1007/11871842_34",
  size =         "12 pages",
  abstract =     "Research in the rule induction algorithm field
                 produced many algorithms in the last 30 years. However,
                 these algorithms are usually obtained from a few basic
                 rule induction algorithms that have been often changed
                 to produce better ones. Having these basic algorithms
                 and their components in mind, this work proposes the
                 use of Grammar-based Genetic Programming (GGP) to
                 automatically evolve rule induction algorithms. The
                 proposed GGP is evaluated in extensive computational
                 experiments involving 11 data sets. Overall, the
                 results show that effective rule induction algorithms
                 can be automatically generated using GGP. The
                 automatically evolved rule induction algorithms were
                 shown to be competitive with well-known manually
                 designed ones. The proposed approach of automatically
                 evolving rule induction algorithms can be considered a
                 pioneering one, opening a new kind of research area.",
  refereed =     "yes",
  notes =        "

                 26 rules in grammar. Parse tree representation.",
}

Genetic Programming entries for Gisele L Pappa Alex Alves Freitas

Citations