Neighbourhood sampling in bagging for imbalanced data.
Jerzy BlaszczynskiJerzy StefanowskiPublished in: Neurocomputing (2015)
Keyphrases
- imbalanced data
- sampling methods
- ensemble methods
- linear regression
- class distribution
- imbalanced datasets
- learning from imbalanced data
- feature selection
- classification models
- support vector machine
- class imbalance
- imbalanced class distribution
- least squares
- random forest
- random sampling
- minority class
- ensemble learning
- multi class
- ensemble classifier
- training data
- decision trees
- machine learning