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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem

In supervised learning, class imbalanced data set is a state where the class distribution is not uniform among the classes. Many classifiers fail to properly identify pattern that belongs to minority class due to most of those classifiers are built in order to minimize error rate. Hence, a biased...

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書誌詳細
第一著者:	Mohd Pozi, Muhammad Syafiq
フォーマット:	学位論文
言語:	English
出版事項:	2016
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/69313/1/FSKTM%202016%204%20IR.pdf http://psasir.upm.edu.my/id/eprint/69313/
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