1. Christina, V., Karpagavalli, S., & Suganya, G. (2010). Email spam filtering using supervised machine learning techniques. International Journal of Computational Science and Engineering, 02(09), 3126–3129.
2. Mendez, J.R., Díaz, F., Iglesias, E.L., Corchado, J.M. (2006). A comparative performance study of feature selection methods for the anti-spam filtering domain. In Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, (pp. 106–120). Berlin Heidelberg: Springer.
3. Sakkis, G., Androutsopoulos, I., Paliouras, G., Karkaletsis, V. (2001). Stacking classifiers for anti-spam filtering of E-mail. In Empirical Methods in Natural Language Processing, (pp. 44–50).
4. Pelletier, L., Almhana, J., Choulakian, V. (2004). Adaptive filtering of spam. In Second Annual Conference on Communication Networks and Services Research (CNSR’04).
5. Kumar, P., & Biswas, M. (2017, February). SVM with Gaussian kernel-based image spam detection on textual features. In 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT) (pp. 1–6).