Performance enhancement of classification scheme in data mining using hybrid algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Singhal:2015:ICCCA,
  author =       "Neelam Singhal and Mohd. Ashraf",
  booktitle =    "2015 International Conference on Computing,
                 Communication Automation (ICCCA)",
  title =        "Performance enhancement of classification scheme in
                 data mining using hybrid algorithm",
  year =         "2015",
  pages =        "138--141",
  abstract =     "Data mining has been an active area of research for
                 the past couple of decades. Classification is an
                 important data mining technique that consists of
                 assigning a data instance to one of the several
                 predefined categories. Various successful methods have
                 already been suggested and tested to solve the problems
                 of the classification. In this paper, author proposed a
                 new hybrid classifier by combining evolutionary and
                 non-evolutionary algorithms; specifically, by merging
                 Genetic Programming and Decision Tree to improve the
                 accuracy, comprehensibility and timing of the
                 classification.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CCAA.2015.7148360",
  month =        may,
  notes =        "School of ICT, Gautam Buddha University, Greater
                 Noida, India

                 Also known as \cite{7148360}",
}

Genetic Programming entries for Neelam Singhal Mohd Ashraf

Citations