Enhancing email classification using data reduction and disagreement-based semi-supervised learning

Keyphrases

• Data Reduction 100%
• Disagreement-based Semi-supervised Learning 100%
• Email Classification 100%
• Classification Model 40%
• Spam Email 40%
• Copyright 20%
• Unlabeled Data 20%
• Public Dataset 20%
• Detection Accuracy 20%
• False Acceptance Rate 20%
• Email Features 20%

Computer Science

• Semisupervised Learning 100%
• Data Reduction 100%
• e-Mail 66%
• Classification Models 66%
• spam email 66%
• Experimental Result 33%
• Unlabeled Data 33%
• Detection Accuracy 33%