Genetic Programming in Pattern Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Sebastian Ventura and Jose Maria Luna",
  title =        "Genetic Programming in Pattern Mining",
  booktitle =    "Pattern Mining with Evolutionary Algorithms",
  publisher =    "Springer",
  year =         "2016",
  chapter =      "5",
  pages =        "87--117",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-33858-3",
  DOI =          "doi:10.1007/978-3-319-33858-3_5",
  abstract =     "genetic programming for the mining of patterns of
                 interest and the extraction of accurate relationships
                 between patterns. The current chapter first describes
                 the canonical representation of genetic programming and
                 the use of grammars to restrict the search space. Then,
                 it describes different approaches based on genetic
                 programming for mining association rules of interest,
                 paying special attention to the grammars used to
                 restrict the search space, the genetic operators
                 applied and the fitness functions considered by
                 different approaches. Finally, this chapter deals with
                 a series of application domains in which the use of
                 genetic programming for mining association rules has
                 been a successfully applied.",
  notes =        "Part of \cite{Ventura:2016:pmea}",

Genetic Programming entries for Sebastian Ventura Jose Maria Luna