Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem

Keyphrases

• Performance Prediction 100%
• Class Imbalance Problem 100%
• Cluster-based Undersampling 100%
• Oversampling Technique 100%
• Fast Clustering 100%
• Data Resampling 66%
• Majority Class 66%
• Minority Class 66%
• Time Complexity 33%
• Computational Cost 33%
• State-of-the-art Techniques 33%
• Computer Networks 33%
• Classification Algorithms 33%
• Learning Algorithm 33%
• Method Adaptation 33%
• Fraud Detection 33%
• Performance Measures 33%
• Undersampling 33%
• Unlabeled Instances 33%
• Intrusion Detection 33%
• Training Phase 33%
• Imbalanced Data 33%
• Cost Performance 33%
• Sentiment Analysis 33%
• Churn Prediction 33%
• Novel Clustering 33%
• Instance Recognition 33%
• Imbalance Problem 33%
• Resampling Methods 33%
• Cost-sensitive Learning 33%
• Inverse Distance 33%
• Binary Class 33%
• Pareto Frontier 33%
• Imbalanced Class Distribution 33%

Computer Science

• Predictive Performance 100%
• Class Imbalance Problem 100%
• Class Instance 100%
• Majority Class 66%
• Minority Class 66%
• Time Complexity 33%
• Learning Algorithm 33%
• Computer Network 33%
• Classification Algorithm 33%
• Fraud Detection 33%
• Performance Measure 33%
• Intrusion Detection 33%
• Computational Cost 33%
• Training Phase 33%
• Sentiment Analysis 33%
• Cluster Algorithm 33%
• Pareto Frontier 33%
• Class Distribution 33%