Using GMDH-based networks for improved spam detection and email feature analysis

Computer Science

• Data Handling 100%
• spam detection 100%
• spam 100%
• spam email 100%
• Learning Approach 66%
• Detection Accuracy 33%
• Usability 33%
• Network Bandwidth 33%
• Model Complexity 33%
• Legitimate Email 33%
• Network Administrator 33%
• User 33%
• Electronic Mail 33%
• Application 33%
• Neural Network 33%
• Benchmark 33%
• Message 33%
• False Positive Rate 33%
• Threat 33%
• Training Data 33%
• Classification Performance 33%
• Data Reduction 33%
• Classification Accuracy 33%
• Bayesian Classifier 33%