Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail Spam

Author:

Gavrilis Dimitris,Tsoulos Ioannis G.,Dermatas Evangelos

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Sakkis, G., Androutsopoulos, I., Paliouras, G., Karkaletsis, V., Spyropoulos, C.D., Stamatopoulos, P.: A memory-based approach to anti-spam filtering for mailing lists. Information Retrieval 6, 49–73 (2003)

2. Androutsopoulos, I., Koutsias, J., Chandrinos, K.V., Paliouras, G., Spyropoulos, C.D.: An Evaluation of Naive Bayesian Anti-Spam Filtering. In: Proc. of the workshop on Machine Learning in the New Information Age (2000)

3. Lee, D.L., Chuang, H., Seamons, K.: Document Ranking and the Vector-Space Model. IEEE Software 14, 67–75 (1997)

4. Steinbach, M., Karypis, G., Kumar, V.: A Comparison of Document Clustering Techniques. In: KDD Workshop on Text Mining (2000)

5. Michelakis, E., Androutsopoulos, I., Paliouras, G., Sakkis, G., Stamatopoulos, P.: Filtron: A Learning-Based Anti-Spam Filter. In: Proc. of the 1st Conference on Email and Anti-Spam (2004)

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