Discriminant Feature Selection via Minimizing the Minority-emphasis Regularization to Within-class Matrix for Imbalanced Data.
Shuhao HuangHongmei ChenPublished in: ISKE (2021)
Keyphrases
- imbalanced data
- majority class
- minority class
- feature selection
- class imbalance
- class distribution
- imbalanced datasets
- class imbalanced
- highly imbalanced
- support vector machine
- classification error
- ensemble methods
- decision boundary
- high dimensionality
- linear regression
- sampling methods
- classification models
- decision trees
- feature extraction
- training data
- cost sensitive learning
- nearest neighbour
- training set
- feature selection algorithms
- machine learning
- training dataset
- ensemble learning
- cost sensitive
- classification accuracy
- ensemble classifier
- dimensionality reduction
- original data
- text categorization
- multi class
- knn
- concept drift
- random forest
- support vector
- class labels
- low dimensional