Application of Improved MDSMOTE and FC-SVM in Imbalanced Data Set Classification

On the network shopping evaluation data sets appear the phenomenon of extreme imbalance，inorder to improve the classification accuracy of the unbalanced data set，It should be improved from both the sample and the algorithm For one of the problem in MDSMOTE algorithm that when generating part of the...

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Principais autores:	WEN Xue-yan, ZHAO Li-ying, XU Ke-sheng, LU Guang
Format:	Artigo
Jezik:	Chinês
Izdano:	Harbin University of Science and Technology Publications 2018-08-01
Serija:	Journal of Harbin University of Science and Technology
Teme:	imbalanced data sets support vector machines smote algorithm text categorization
Online dostop:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1561
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