Combining neural networks and semantic feature space for email classification
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference20 articles.
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3. J. Moon, T. Shon, J. Seo, et al., An approach for spam e-mail detection with support vector machine and n-gram indexing, in: Proceedings of International Symposium on Computer and Information Sciences, Springer, Antalya, 2004, pp. 351–362.
4. H.B. Wang, Y. Yu, Z. Liu, SVM classifier incorporating feature selection using GA for spam detection, in: Proceedings of the 2005 International Conference on Embedded And Ubiquitous Computing, Nagasaki, Japan, 2005, pp. 1147–1154.
5. D. Gavrilis, I.G. Tsoulos, E. Dermatas, Neural recognition and genetic features selection for robust detection of e-mail spam, in: Proceedings of the Fourth Helenic Conference on AI, Crete, Greece, 2006, pp. 498–501.
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