Unsupervised feature selection method for intrusion detection system

Keyphrases

• Absence of Data 25%
• Classification Accuracy 25%
• Data Classification 25%
• Data Label 25%
• Detection System 25%
• Evaluation Results 25%
• Feature Selection Methods 100%
• Feature Selection Problem 50%
• Intrusion Datasets 25%
• Intrusion Detection System 100%
• KDDCup99 25%
• Kyoto 2006+ 25%
• Laplacian Score 100%
• Locality Preserving 25%
• Main Phase 25%
• Mutual Information 25%
• NSL-KDD 25%
• Penalization Method 25%
• Redundancy 50%
• Score Method 50%
• Selected Features 25%
• Selected Subset 25%
• Selection Strategy 50%
• Unsupervised Feature Selection 100%

Computer Science

• Classification Accuracy 20%
• Data Classification 20%
• Evaluation Result 20%
• Feature Selection 100%
• Intrusion Detection 20%
• Intrusion Detection System 100%
• Laplacian Score 80%
• Mutual Information 20%
• Selection Process 20%