A Local Information Based Synthetic Minority Oversampling Technique for Imbalanced Dataset Learning
碩士 === 國立成功大學 === 工業與資訊管理學系 === 107 === A dataset is imbalanced if the classes are not approximately equally represented. Data mining on imbalanced datasets receives more and more attentions in recent years. The class imbalanced problem occurs when there’s just few number of sample in one classes co...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5mdht9 |