BO-SMOTE: A Novel Bayesian-Optimization-Based Synthetic Minority Oversampling Technique

Keyphrases

• Optimization Approach 100%
• Synthetic Minority Oversampling Technique (SMOTE) 100%
• Bayesian Optimization 100%
• Minority Sample 100%
• Optimization Problem 28%
• Oversampling Technique 28%
• Imbalanced Data 28%
• Imbalanced Learning 28%
• Optimization Objectives 14%
• Performance Prediction 14%
• Existing State 14%
• Effective Method 14%
• Negative Effects 14%
• Selection Strategy 14%
• Classification Accuracy 14%
• Negative Impact 14%
• Different Datasets 14%
• Sample Selection 14%
• Black-box Optimization 14%
• Variable Features 14%
• Exploration Phase 14%
• Oversampling Model 14%

Computer Science

• Optimization Problem 100%
• Optimisation Objective 50%
• Experimental Result 50%
• Negative Effect 50%
• Classification Accuracy 50%
• Effective Method 50%
• Prediction Performance 50%
• Negative Impact 50%
• Continuous Variable 50%

Mathematics

• Oversampling 100%
• Bayesian Optimization 100%
• Continuous Variable 25%
• Black Box 25%