Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector

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

@PhdThesis{Matthew.G.Smith:thesis,
  author =       "Matthew Goble Smith",
  title =        "Using Genetic Programming for Feature Creation with a
                 Genetic Algorithm Feature Selector",
  school =       "University of the West of England, Bristol",
  year =         "2010",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.thinkinglogic.com/Main/DataMining",
  URL =          "http://ethos.bl.uk/OrderDetails.do?did=42&uin=uk.bl.ethos.525208",
  abstract =     "This thesis examines the use of Genetic Programming
                 and a Genetic Algorithm in a wrapper approach to
                 pre-process data before it is classified by a
                 (relatively simple) classifier such as C4.5. Genetic
                 Programming is combined with a Genetic Algorithm to
                 construct and select new features from those available
                 in the data, a potentially significant process for data
                 mining since it gives consideration to hidden
                 relationships between features. Pre-processing data in
                 this fashion for a simple classifier makes explicit the
                 discovery of hidden relationships that is made
                 implicitly by a more complex classifier such as an
                 Artificial Neural Network or a Support Vector Machine.
                 The algorithm is applied initially to C4.5, then to IBk
                 and Naive Bayes, and allowed to select the most
                 appropriate classifier type. Techniques are employed to
                 improve the human readability of these new features and
                 extract more information about the domain. Finally
                 ensembles of heterogenous classifiers are constructed,
                 both from the final population of a single run and by
                 assembling the fittest individuals from many runs.",
  notes =        "uk.bl.ethos.525208",
}

Genetic Programming entries for Matthew G Smith

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