Clustering-Based Under-sampling in Class Imbalanced Data
碩士 === 國立中央大學 === 資訊管理學系 === 104 === The class imbalance problem is an important issue in data mining. This problem occurs when the number of samples that represent one class is much less than the ones of other classes. The classification model built by class imbalance datasets is likely to miscla...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/63638063606226309685 |