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

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@InProceedings{Smith:PPSN:2004,
  author =       "Matthew G. Smith and Larry Bull",
  title =        "Using Genetic Programming for Feature Creation with a
                 Genetic Algorithm Feature Selector",
  booktitle =    "Parallel Problem Solving from Nature - PPSN VIII",
  year =         "2004",
  editor =       "Xin Yao and Edmund Burke and Jose A. Lozano and 
                 Jim Smith and Juan J. Merelo-Guerv\'os and 
                 John A. Bullinaria and Jonathan Rowe and 
                 Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
  volume =       "3242",
  pages =        "1163--1171",
  series =       "LNCS",
  address =      "Birmingham, UK",
  publisher_address = "Berlin",
  month =        "18-22 " # sep,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-23092-0",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3242&spage=1163",
  DOI =          "doi:10.1007/b100601",
  abstract =     "The use of machine learning techniques to
                 automatically analyse data for information is becoming
                 increasingly widespread. In this paper we primarily
                 examine the use of Genetic Programming and a Genetic
                 Algorithm to pre-process data before it is classified
                 using the C4.5 decision tree learning algorithm.
                 Genetic Programming is used to construct new features
                 from those available in the data, a potentially
                 significant process for data mining since it gives
                 consideration to hidden relationships between features.
                 A Genetic Algorithm is used to determine which such
                 features are the most predictive. Using ten well-known
                 datasets we show that our approach, in comparison to
                 C4.5 alone, provides marked improvement in a number of
                 cases. We then examine its use with other well-known
                 machine learning techniques.",
  notes =        "PPSN-VIII",
}

Genetic Programming entries for Matthew G Smith Larry Bull

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