Highly imbalanced classification using improved rotation forests.
Xiaonan FangXiyuan ZhengYanyan TanHuaxiang ZhangPublished in: Int. J. Wirel. Mob. Comput. (2016)
Keyphrases
- highly imbalanced
- classification accuracy
- feature selection
- feature vectors
- support vector
- support vector machine svm
- machine learning
- classification models
- benchmark datasets
- text classification
- high dimensionality
- cost sensitive
- support vector machine
- semi supervised
- supervised learning
- decision trees
- feature extraction
- machine learning algorithms
- high dimensional
- pattern classification
- training set
- generalization ability
- class distribution
- cost sensitive learning
- feature space