Genetic programming in classifying large-scale data: an ensemble method

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

@Article{zhang:2004:gpcls,
  author =       "Yifeng Zhang and Siddhartha Bhattacharyya",
  title =        "Genetic programming in classifying large-scale data:
                 an ensemble method",
  journal =      "Information Sciences",
  volume =       "163",
  number =       "1-3",
  month =        jun,
  year =         "2004",
  pages =        "85--101",
  keywords =     "genetic algorithms, genetic programming, Ensemble,
                 Classification, Large-scale data",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-4B3JHTS-8/2/e700b4ff083cb177e8d6d03d0767a261",
  DOI =          "doi:10.1016/j.ins.2003.03.028",
  abstract =     "This study demonstrated potential of genetic
                 programming (GP) as a base classifier algorithm in
                 building ensembles in the context of large-scale data
                 classification. An ensemble built upon base classifiers
                 that were trained with GP was found to significantly
                 outperform its counterparts built upon base classifiers
                 that were trained with decision tree and logistic
                 regression. The superiority of GP ensemble was partly
                 attributed to the higher diversity, both in terms of
                 the functional form of as well as with respect to the
                 variables defining the models, among the base
                 classifiers upon which it was built on. Implications of
                 GP as a useful tool in other data mining problems, such
                 as feature selection, were also discussed.",
}

Genetic Programming entries for Yifeng Zhang Siddhartha Bhattacharyya

Citations