Cost-Sensitive Boosting for Classification of Imbalanced Data
The classification of data with imbalanced class distributions has posed a significant drawback in the performance attainable by most well-developed classification systems, which assume relatively balanced class distributions. This problem is especially crucial in many application domains, such as m...
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| Format: | Others |
| Language: | en |
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2007
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| Online Access: | http://hdl.handle.net/10012/3000 |