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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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书目详细资料
主要作者:	Mohd Pozi, Muhammad Syafiq
格式:	Thesis
语言:	English
出版:	2016
在线阅读:	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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