Ensemble learning is widely applied in various real-world settings, with Bagging and Boosting being two core algorithms. Although these techniques have been extensively investigated through ...
In this paper, a Cluster-based Synthetic minority oversampling technique (SMOTE) Both-sampling (CSBBoost) ensemble algorithm is proposed for classifying imbalanced data. In this algorithm, a ...