A multi-layer Naïve Bayes model for approximate identity matching

Keyphrases

• Approximate Identity 100%
• Bayes Model 100%
• Citizen Services 50%
• Comparison Techniques 50%
• Deception 50%
• Exact Match 50%
• Existing Techniques 50%
• Fully Supervised Learning 100%
• Fully Unsupervised Learning 50%
• Governmental Practices 50%
• Homeland Security 50%
• Identity Management 50%
• Identity Matching 100%
• Identity Representation 50%
• Matching Model 50%
• Multiple Identities 50%
• Nave Bayes 100%
• Semi-supervised Learning 50%
• Supervised Learning Method 50%
• Training Data 50%
• Training Methods 50%

Computer Science

• Homeland Security 50%
• Identity Management 50%
• Labeled Instance 50%
• Learning Approach 50%
• Matching Model 50%
• Multiple Identity 50%
• Nave Bayes 100%
• Semisupervised Learning 50%
• Supervised Learning 100%
• Training Dataset 50%
• Training Instance 50%
• Unsupervised Learning 50%