Optimizing classification techniques using Genetic Programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Mohammad Hussein Saraee and Razieh Sadat Sadjady",
  title =        "Optimizing classification techniques using Genetic
                 Programming approach",
  booktitle =    "IEEE International Multitopic Conference, INMIC 2008",
  year =         "2008",
  month =        dec,
  pages =        "345--348",
  keywords =     "genetic algorithms, genetic programming, computer
                 program, data mining technique, optimizing
                 classification techniques, search space, data mining,
                 pattern classification, search problems",
  DOI =          "doi:10.1109/INMIC.2008.4777761",
  abstract =     "Genetic programming (GP) is a branch of genetic
                 algorithms (GA) that searches for the best operation or
                 computer program in search space of operations. At the
                 same time classification is a data mining technique
                 used to build model of data classes which can be used
                 to predict future trends. In this paper GP has been
                 employed for the implementation of the classification
                 technique. GP properties can facilitate generating new
                 and optimized classification rules that are not
                 discovered by the existing traditional classification
                 techniques. In addition we will show that GA approach
                 is superior to traditional methods in regard to
                 performance both on time and space requirements for
  notes =        "Also known as \cite{4777761}",

Genetic Programming entries for Mohammad Hussein Saraee Razieh Sadat Sadjady