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AI Techniques for Spam Email Detection by Hritik Kumar is a document available to read on EtoBox.

This paper discusses advanced machine learning techniques to enhance spam email detection and classification, addressing the limitations of traditional rule-based filters. It proposes a framework that combines supervised, unsupervised, and ensemble methods to improve accuracy and reduce false positives in spam detection. The research highlights the importance of adaptive systems to keep pace with evolving spam tactics and provides insights into effective feature extraction and model applications.

Author
Hritik Kumar
Language
EN