The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data.
Mateusz LangoJerzy StefanowskiPublished in: NFMCP (2015)
Keyphrases
- imbalanced data
- high dimensional
- highly skewed
- imbalanced class distribution
- ensemble methods
- class distribution
- linear regression
- learning from imbalanced data
- feature selection
- high dimensionality
- classification models
- random forest
- decision trees
- class imbalance
- imbalanced datasets
- machine learning
- support vector machine
- dimensionality reduction
- sampling methods
- ensemble classifier
- feature space
- similarity measure
- low dimensional
- ensemble learning
- svm classifier
- high dimensional data