Weighted one-class classification for different types of minority class examples in imbalanced data.
Bartosz KrawczykMichal WozniakFrancisco HerreraPublished in: CIDM (2014)
Keyphrases
- imbalanced data
- minority class
- majority class
- class imbalance
- class distribution
- linear regression
- imbalanced datasets
- imbalanced data sets
- feature selection
- support vector machine
- nearest neighbour
- sampling methods
- random forest
- classification models
- ensemble methods
- decision trees
- machine learning
- data sets
- ensemble learning
- random sampling
- cost sensitive
- ensemble classifier
- original data
- svm classifier
- dimensionality reduction
- support vector