ISO 3297:2007
Indexed in
IC Value in 2009: 3.03
IC Value in 2010: 3.14
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| Title |
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Review of Classification Using Genetic Programming |
| Authors |
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Hajira Jabeen, Abdul Rauf Baig |
| Keywords |
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Data Classification, Genetic Programming, Survey, Taxonomy. |
| Issue Date |
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February 2010 |
| Abstract |
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Genetic programming (GP) is a powerful evolutionary algorithm introduced to evolve computer programs automatically. It is a domain independent, stochastic method with an important ability to represent programs of arbitrary size and shape. Its flexible nature has attracted numerous researchers in data mining community to use GP for classification. In this paper we have reviewed and analyzed tree based GP classification methods and propose taxonomy of these methods. We have also discussed various strengths and weaknesses of the technique and provide a framework to optimize the task of GP based classification. |
| Page(s) |
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94-103 |
| ISSN |
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0975-5462 |
| Source |
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Vol. 2, No.2 |
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