Data Classification with Genetic Programming (Gp) -- A Case Study

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Kumari:2013:IJERD,

• author = "N. Prasanna Kumari",
• title = "Data Classification with Genetic Programming (Gp) -- A Case Study",
• journal = "International Journal of Engineering Research and Development",
• year = "2013",
• volume = "7",
• number = "4",
• pages = "47--54",
• month = may,
• keywords = "genetic algorithms, genetic programming, classification, data mining",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.416.321",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.321",
• URL = "http://www.ijerd.com/paper/vol7-issue4/I0704047054.pdf",
• size = "8 pages",
• abstract = "Classification is one of the most researched questions in data mining. A wide range of real problems have been stated as classification problems, for example credit scoring, bankruptcy prediction, medical diagnosis, pattern recognition, text categorisation, software quality assessment, and many more. The use of evolutionary algorithms for training classifiers has been studied in the past few decades. Genetic programming is a technique to automatically discover computer programs using principles of evolution. Genetic operations like crossover, mutation, reproduction are carried out on population to get the best fitting results. In this GP is used for developing a classification model for a data set and also used for function generation to study its automatic code generation capability.",
• notes = "Assistant Professor, Dept of CSE AITAM Tekkali, Andhra Pradesh, INDIA",

}

Genetic Programming entries for N Prasanna Kumari

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