NUS: Noisy-Sample-Removed Undersampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection

Keyphrases

• Undersampling 100%
• Imbalanced Classification 100%
• Credit Card Fraud Detection 100%
• Noisy Samples 100%
• Majority Class 33%
• Minority Class 16%
• Cluster Center 16%
• Hypersphere 16%
• Minority Sample 16%
• Industrial Application 8%
• Electronic Commerce 8%
• Logistic Regression 8%
• Euclidean Distance 8%
• Cluster-based 8%
• Oversampling Technique 8%
• Classification Performance 8%
• Positive Role 8%
• Decision Tree Regression 8%
• Part Identification 8%
• Transaction Dataset 8%
• Basic Classifier 8%
• Random Tree 8%
• Real-time Transaction 8%
• Defective Parts 8%

Mathematics

• Credit Card 100%
• Fraud Detection 100%
• Majority Class 100%
• Cluster Center 66%
• Hypersphere 66%
• Logistic Regression 33%
• Euclidean Distance 33%
• Oversampling 33%
• Decision Tree 33%
• Defectives 33%

Computer Science

• Fraud Detection 100%
• Majority Class 100%
• Minority Class 50%
• Industrial Application 25%
• Logistic Regression 25%
• Euclidean Distance 25%
• Decision Trees 25%
• Random Decision Forest 25%
• Perform Experiment 25%