Genetic Programming for Classification with Unbalanced Data

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

@InProceedings{Bhowan:2010:EuroGP,
  author =       "Urvesh Bhowan and Mengjie Zhang and Mark Johnston",
  title =        "Genetic Programming for Classification with Unbalanced
                 Data",
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "1--13",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_1",
  abstract =     "Learning algorithms can suffer a performance bias when
                 data sets only have a small number of training examples
                 for one or more classes. In this scenario learning
                 methods can produce the deceptive appearance of good
                 looking results even when classification performance on
                 the important minority class can be poor. This paper
                 compares two Genetic Programming (GP) approaches for
                 classification with unbalanced data. The first focuses
                 on adapting the fitness function to evolve classifiers
                 with good classification ability across both minority
                 and majority classes. The second uses a multi-objective
                 approach to simultaneously evolve a Pareto front (or
                 set) of classifiers along the minority and majority
                 class trade-off surface. Our results show that
                 solutions with good classification ability were evolved
                 across a range of binary classification tasks with
                 unbalanced data.",
  notes =        "Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
                 held in conjunction with EvoCOP2010 EvoBIO2010 and
                 EvoApplications2010",
}

Genetic Programming entries for Urvesh Bhowan Mengjie Zhang Mark Johnston

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