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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Chinês |
| I whakaputaina: |
Harbin University of Science and Technology Publications
2018-08-01
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| Rangatū: | Journal of Harbin University of Science and Technology |
| Ngā marau: | |
| Urunga tuihono: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1561 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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