Decision tree rule-based feature selection for large-scale imbalanced data

Keyphrases

• Feature Selection 100%
• Rule-based 100%
• Feature Selection Methods 100%
• Imbalanced Data 100%
• Decision Tree Rule 100%
• Computation Time 50%
• Fault Diagnosis 50%
• Large-scale Dataset 50%
• Real-world Application 50%
• Computational Effort 50%
• Fraud Detection 50%
• Filter Feature Selection Method 50%
• Area under the Curve 50%
• Chi-square Statistic 50%
• Class Imbalance Problem 50%
• Santander 50%
• F-statistics 50%
• Text Categorization 50%

Computer Science

• Feature Selection 100%
• Decision Trees 100%
• Imbalanced Data 100%
• Fraud Detection 25%
• World Application 25%
• Computational Time 25%
• Computational Effort 25%
• Fault Diagnosis 25%
• Class Imbalance Problem 25%
• Text Categorization 25%