Enhanced email spam filtering using spectral clustering and deep neural networks

The vast growth in email communications has resulted in an overwhelming increase in unsolicited email, making it challenging to filter properly. This study proposes a novel spam detection approach called SCDNN, which adapts spectral clustering and deep neural networks for precise spam identification...

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Bibliografiske detaljer

Principais autores:	Sahar Ahmed, Hadeel Saleh, Sameer Alani
Format:	Artigo
Sprog:	Inglês
Udgivet:	University of Anbar 2026-04-01
Serier:	مجلة جامعة الانبار للعلوم الصرفة
Fag:	deep neural network enron email data set spam assassin spectral clustering uci mail spam
Online adgang:	https://juaps.uoanbar.edu.iq/article_191311_e2147e513a42a232207cf867e5c95313.pdf
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