Classification Rule Discovery for Diabetes Patients by Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Raj Kumar2 and Rajesh Verma",
  title =        "Classification Rule Discovery for Diabetes Patients by
                 Using Genetic Programming",
  journal =      "International Journal of Soft Computing \&
  year =         "2012",
  volume =       "2",
  number =       "4",
  pages =        "183--185",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, Discipulus,
                 Notitia, DM, KDD",
  ISSN =         "2231-2307",
  bibsource =    "OAI-PMH server at",
  oai =          "oai:doaj-articles:36f4f4d99752cd85b70630624805df8c",
  subject =      "Classification; DM; GP; KDD",
  URL =          "",
  URL =          "",
  size =         "3 pages",
  abstract =     "The learning algorithms have great application in
                 knowledge discovery. Learning algorithm offers new
                 beneficiary ways in for real-world applications.
                 Genetic Programming (GP)have some advantages due to
                 which it become suitable for classification in data
                 mining for Knowledge Discovery(KDD)This paper focuses
                 on the classification by using the Genetic Programming.
                 There are various types of the traditional
                 classification techniques like Naive Bayesian, ID3,
                 C4.5, CART,kNN, k-mean, SVM etc. The proposed algorithm
                 is implementation the Diabetes data set and excremental
                 results are compared with traditional approach",
  notes =        "Statlog/datasets/diabetes",

Genetic Programming entries for Raj Kumar2 Rajesh K Verma