Borderline SMOTE adaptive boosted decision tree
碩士 === 國立交通大學 === 統計學研究所 === 104 === The problem of learning from imbalanced data has been receiving a growing attention. Since dealing with imbalanced data may decrease the efficiency of classifier, many researchers have been working on this domain and coming up with many solutions, such as the met...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/02768976104039544520 |