Efficient clustering of emails into spam and ham: the foundational study of a comprehensive unsupervised framework

Computer Science

• Algorithms 100%
• Clustering 100%
• Foundational Study 100%
• e-Mail 100%
• spam 100%
• Feature Reduction 40%
• Data Source 20%
• User 20%
• Malicious Activity 20%
• Identity Theft 20%
• Feature Selection 20%
• Anti-Spam 20%
• Validation Process 20%
• Malware Propagation 20%
• spam email 20%
• Clustering Algorithm 20%
• clustering approach 20%