Soil Classification Using GATREE

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  title =        "Soil Classification Using {GATREE}",
  author =       "P. Bhargavi and S. Jyothi",
  journal =      "International Journal of Computer Science \&
                 Information Technology",
  year =         "2010",
  volume =       "2",
  number =       "5",
  pages =        "184--191",
  keywords =     "genetic algorithms, genetic programming, data mining,
                 soil profile, soil database, classification",
  ISSN =         "09754660",
  URL =          "",
  DOI =          "doi:10.5121/ijcsit.2010.2514",
  publisher =    "Academy \& Industry Research Collaboration Centre
  bibsource =    "OAI-PMH server at",
  oai =          "oai:doaj-articles:62c4c972981e7958ba9ff79981358355",
  size =         "8 pages",
  abstract =     "This paper details the application of a genetic
                 programming framework for classification of decision
                 tree of Soil data to classify soil texture. The
                 database contains measurements of soil profile data. We
                 have applied GATree for generating classification
                 decision tree. GATree is a decision tree builder that
                 is based on Genetic Algorithms(GAs). The idea behind it
                 is rather simple but powerful. Instead of using
                 statistic metrics that are biased towards specific
                 trees we use a more flexible, global metric of tree
                 quality that try to optimise accuracy and size. GATree
                 offers some unique features not to be found in any
                 other tree inducers while at the same time it can
                 produce better results for many difficult problems.
                 Experimental results are presented which illustrate the
                 performance of generating best decision tree for
                 classifying soil texture for soil data set.",

Genetic Programming entries for P Bhargavi S Jyothi