Granular computing for imbalanced data: theory and applications
博士 === 國立交通大學 === 工業工程與管理系所 === 94 === In recent years, the development of machine learning techniques has provided an effective avenue for classification problems. However, when learning from imbalanced data, the traditional methods have poor predictive ability to identify minority instances. This...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/83930875471713976916 |