Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Classification of imbalanced datasets remained a significant issue in data mining and machine learning (ML) fields. This research work proposed a new idea based on the optimization for handling the imbalanced datasets. A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization....
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2019
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| 主題: | |
| 在線閱讀: | http://eprints.usm.my/48598/1/Sana%20Saeed%20thesis%20Ph.D%20cut.pdf |
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