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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| Main Authors: | WEN Xue-yan, ZHAO Li-ying, XU Ke-sheng, LU Guang |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2018-08-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1561 |
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