Adaptive Ensemble Method Based on Spatial Characteristics for Classifying Imbalanced Data
The class imbalance problems often reduce the classification performance of the majority of standard classifiers. Many methods have been developed to solve these problems, such as cost-sensitive learning methods, synthetic minority oversampling technique (SMOTE), and random oversampling (ROS). Howev...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2017-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2017/3704525 |