A Genetic Programming Approach to Inductive Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "K. Lavangnananda",
  title =        "A Genetic Programming Approach to Inductive Learning",
  booktitle =    "2004 International Conference on Computational
                 Intelligence for Modelling, Control and Automation -
  year =         "2004",
  editor =       "Masoud Mohammadian",
  pages =        "279--290",
  address =      "Gold Coast, Australia",
  month =        "12-14 " # jul,
  keywords =     "genetic algorithms, genetic programming, data mining,
                 evolutionary computation, inductive learning",
  URL =          "http://dummy/Lavangnananda_2004_CIMCA.pdf",
  size =         "12 pages",
  abstract =     "There have been many applications of artificial
                 intelligence data mining recently. One of its many
                 benefits includes the ability to cluster or generate
                 patterns from large amount of data when conventional
                 statistical methods are proven ineffective. One such
                 techniques in data mining is inductive learning. There
                 have been applications of evolutionary computation in
                 inductive learning where genetic algorithms have been
                 employed in chromosomes representation. This paper
                 describes an attempt to use genetic programming in
                 inductive learning. A program known as Genetic
                 Programming for Inductive Learning (GPIL) is described.
                 It uses genetic programming and rectifies the short
                 comings of chromosomes representation in genetic
                 algorithms. The program has been tested on a benchmark
                 data set. It achieved better performance with higher
                 accuracy than previous works on the same data set. The
                 paper also discusses relevant aspects in using genetic
                 programming in inductive learning and suggests
                 directions for future work.",
  notes =        "http://www.ise.canberra.edu.au/

                 An early version of


Genetic Programming entries for Kittichai Lavangnananda