Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements
MSMOTE: Improving Classification Performance When Training Data is Imbalanced
Applying Quantitative Marketing Techniques to the Internet
Predicting credit card customer churn in banks using data mining
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy
Mixture of Expert Agents for Handling Imbalanced Data Sets