A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem.
Debashree DeviSuyel NamasudraSeifedine Nimer KadryPublished in: Int. J. Data Warehous. Min. (2020)
Keyphrases
- class imbalance
- cost sensitive
- binary classification problems
- class distribution
- active learning
- feature selection
- cost sensitive learning
- imbalanced datasets
- majority class
- multi class
- concept drift
- high dimensionality
- misclassification costs
- boosting algorithms
- learning algorithm
- sampling methods
- imbalanced data
- small disjuncts
- minority class
- base classifiers
- ensemble methods
- non stationary
- classification accuracy
- support vector
- attribute selection
- decision trees
- machine learning
- imbalanced class distribution