Classifying imbalanced data using a bagging ensemble variation (BEV).
Cen LiPublished in: ACM Southeast Regional Conference (2007)
Keyphrases
- imbalanced data
- ensemble methods
- class distribution
- ensemble classifier
- linear regression
- learning from imbalanced data
- support vector machine
- random forest
- class imbalance
- feature selection
- ensemble learning
- base classifiers
- classification models
- sampling methods
- neural network
- decision trees
- svm classifier
- base learners
- ensemble members