Radial-Based Approach to Imbalanced Data Oversampling.
Michal KoziarskiBartosz KrawczykMichal WozniakPublished in: HAIS (2017)
Keyphrases
- imbalanced data
- class imbalance
- minority class
- majority class
- class distribution
- sampling methods
- linear regression
- learning from imbalanced data
- support vector machine
- active learning
- feature selection
- cost sensitive
- classification models
- imbalanced datasets
- cost sensitive learning
- ensemble learning
- decision trees
- concept drift
- nearest neighbour
- random forest
- training data
- classification error
- data sets
- svm classifier
- training set
- learning algorithm