Email Spam Filtering Using the Combination of Two Improved Versions of Support Vector Domain Description

Author:

Boujnouni Mohamed EL,Jedra Mohamed,Zahid Noureddine

Publisher

Springer International Publishing

Reference21 articles.

1. López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: A multiobjective evolutionary algorithm for spam e-mail filtering. In: Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, vol. 1, pp. 366–371. Xiamen, China (2008)

2. Hotho, A., Staab, S., Stumme, G.: Ontologies improve text document clustering. In: Proceedings of 3rd IEEE International Conference on Data Mining, pp. 541–544. Melbourne, Florida, USA (2003)

3. Tavakkoli, A., Nicolescu, M., Bebis, G., Nicolescu, M.: A support vector data description approach for background modeling in videos with quasi-stationary backgrounds. Int. J. Artif. Intell. Tools 17(4), 635–658 (2008)

4. Cui, B., Mondal, A., Shen, J., Cong, G., Tan, K.: On effective email classification via neural networks. In: Proceedings of DEXA, pp. 85–94. Copenhagen, Denmark (2005)

5. Tax, D.M.J., Duin, R.P.W.: Data domain description using support vectors. In: Proceedings of European Symposium on Artificial Neural Networks, Bruges (Belgium), pp. 251–256 (1999)

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