A survey of evolutionary algorithms for data mining and knowledge discovery

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{Freitas:2002:AiEC,
  author =       "Alex Freitas",
  title =        "A survey of evolutionary algorithms for data mining
                 and knowledge discovery",
  chapter =      "33",
  pages =        "819--845",
  publisher =    "Springer-Verlag",
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  booktitle =    "Advances in Evolutionary Computation",
  editor =       "A. Ghosh and S. Tsutsui",
  URL =          "http://www.macs.hw.ac.uk/~dwcorne/Teaching/freitas01survey.pdf",
  URL =          "http://www.cs.kent.ac.uk/people/staff/aaf/my-publications-ukc.html",
  abstract =     "This chapter discusses the use of evolutionary
                 algorithms, particularly genetic algorithms and genetic
                 programming, in data mining and knowledge discovery. We
                 focus on the data mining task of classification. In
                 addition, we discuss some preprocessing and
                 postprocessing steps of the knowledge discovery
                 process, focusing on attribute selection and pruning of
                 an ensemble of classifiers. We show how the
                 requirements of data mining and knowledge discovery
                 influence the design of evolutionary algorithms. In
                 particular, we discuss how individual representation,
                 genetic operators and fitness functions have to be
                 adapted for extracting high-level knowledge from
                 data.",
  size =         "27 pages",
}

Genetic Programming entries for Alex Alves Freitas

Citations