Feature selection via minimizing global redundancy for imbalanced data.
Shuhao HuangHongmei ChenTianrui LiHao ChenChuan LuoPublished in: Appl. Intell. (2022)
Keyphrases
- imbalanced data
- feature selection
- classification models
- support vector machine
- class distribution
- ensemble methods
- ensemble classifier
- class imbalance
- linear regression
- sampling methods
- decision trees
- ensemble learning
- text categorization
- high dimensionality
- machine learning
- feature subset
- feature set
- classification accuracy
- support vector
- svm classifier
- naive bayes
- random forest
- dimensionality reduction
- multi class
- preprocessing step
- training data
- feature extraction