Genetic programming in classifying large-scale data: an ensemble method
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{zhang:2004:gpcls,
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author = "Yifeng Zhang and Siddhartha Bhattacharyya",
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title = "Genetic programming in classifying large-scale data:
an ensemble method",
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journal = "Information Sciences",
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volume = "163",
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number = "1-3",
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month = jun,
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year = "2004",
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pages = "85--101",
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keywords = "genetic algorithms, genetic programming, Ensemble,
Classification, Large-scale data",
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URL = "http://www.sciencedirect.com/science/article/B6V0C-4B3JHTS-8/2/e700b4ff083cb177e8d6d03d0767a261",
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DOI = "doi:10.1016/j.ins.2003.03.028",
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abstract = "This study demonstrated potential of genetic
programming (GP) as a base classifier algorithm in
building ensembles in the context of large-scale data
classification. An ensemble built upon base classifiers
that were trained with GP was found to significantly
outperform its counterparts built upon base classifiers
that were trained with decision tree and logistic
regression. The superiority of GP ensemble was partly
attributed to the higher diversity, both in terms of
the functional form of as well as with respect to the
variables defining the models, among the base
classifiers upon which it was built on. Implications of
GP as a useful tool in other data mining problems, such
as feature selection, were also discussed.",
- }
Genetic Programming entries for
Yifeng Zhang
Siddhartha Bhattacharyya
Citations