Comparison of Imbalanced Data Classification Methods
碩士 === 國立臺北大學 === 統計學系 === 105 === Many practical data have imbalanced features such as fraud detection, medical diagnosis, facial recognition, etc. The common classification methods perform poorly under imbalanced data. Sampling techniques are proposed to improve the performance of the classificati...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/ee5d82 |