A Survey on Genetic Programming in Data Mining Tasks

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@Article{Marriboyina:2012:jcta,
  author =       "Venkatadri Marriboyina and Hanumat G. Sastry and 
                 Lokanatha C. Reddy",
  title =        "A Survey on Genetic Programming in Data Mining Tasks",
  journal =      "Journal of Computer Technology \& Applications",
  year =         "2012",
  volume =       "3",
  number =       "1",
  pages =        "83--86",
  keywords =     "genetic algorithms, genetic programming, Data mining,
                 classification, clustering",
  ISSN =         "0976-5697",
  URL =          "http://stmjournals.com/index.php?journal=JoCTA&page=article&op=view&path[]=1701",
  abstract =     "Genetic programming (GP) is a machine learning
                 technique used to give the optimized solution for the
                 user specified tasks from a population of computer
                 programs based on a fitness function. Genetic
                 programming provides automated and optimized solutions
                 for searching of large, poorly defined search spaces
                 and even with the complexities of high dimensionality,
                 multi-modality and discontinuity with noise. Knowledge
                 discovery is an extremely complex process in the real
                 world databases. Various data mining techniques exist
                 for knowledge discovery process, among them, genetic
                 programming data mining techniques are more efficient
                 and suitable. Hence, this paper discusses various
                 GP-based techniques in the data mining field.",
  notes =        "STM Journals",
}

Genetic Programming entries for Venkatadri Marriboyina Hanumat G Sastry Lokanatha C Reddy

Citations