On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{014-IEEETC-SD,
  author =       "Jose Maria Luna and Jose Raul Romero and 
                 Cristobal Romero and Sebastian Ventura",
  title =        "On the Use of Genetic Programming for Mining
                 Comprehensible Rules in Subgroup Discovery",
  journal =      "IEEE Transactions on Cybernetics",
  year =         "2014",
  volume =       "44",
  number =       "12",
  pages =        "2329--2341",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, Data mining
                 (DM), grammar-guided genetic programming (G3P),
                 subgroup discovery (SD)",
  ISSN =         "2168-2267",
  DOI =          "doi:10.1109/TCYB.2014.2306819",
  size =         "13 pages",
  abstract =     "This paper proposes a novel grammar-guided genetic
                 programming algorithm for subgroup discovery. This
                 algorithm, called comprehensible grammar-based
                 algorithm for subgroup discovery (CGBA-SD), combines
                 the requirements of discovering comprehensible rules
                 with the ability to mine expressive and flexible
                 solutions owing to the use of a context-free grammar.
                 Each rule is represented as a derivation tree that
                 shows a solution described using the language denoted
                 by the grammar. The algorithm includes mechanisms to
                 adapt the diversity of the population by self-adapting
                 the probabilities of recombination and mutation. We
                 compare the approach with existing evolutionary and
                 classic subgroup discovery algorithms. CGBA-SD appears
                 to be a very promising algorithm that discovers
                 comprehensible subgroups and behaves better than other
                 algorithms as measures by complexity, interest, and
                 precision indicate. The results obtained were validated
                 by means of a series of nonparametric tests.",
  notes =        "UCI

                 Also known as \cite{6756991}",
}

Genetic Programming entries for Jose Maria Luna Jose Raul Romero Salguero Cristobal Romero Morales Sebastian Ventura

Citations