Machine Learning Approaches for Modeling Spammer Behavior

Author:

Islam Md. Saiful,Mahmud Abdullah Al,Islam Md. Rafiqul

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Data protection: Junk E-mail Costs Internet Users 10 Billion a Year Worldwide - Commission Study. In: http://europa.eu/rapid/pressReleasesAction.do?reference=IP/01/154 (last accessed on Febuary14th 2009)

2. Aery, M., Chakravarthy, S.: eMailSift: Email Classification Based on Structure and Content. In: Proc. of 5th IEEE Intl. Conf. on Data Mining, pp. 1–8 (2005)

3. Islam, M.R., Chowdhury, M.U.: Spam Filtering using ML Algorithms. In: Proc. of IADIS International Conf. on WWW/Internet, pp. 419–426 (2005)

4. Drucker, H., Wu, D., Vapnik, V.N.: Support Vector Machines for Spam Categorization. IEEE Transactions on Neural Networks 10(5), 1048–1054 (1999)

5. Eichler, K.: Automatic Classification of Swedish Email Messages. B.A Thesis, Eberhard-Karls-Universitat Tubingen (2005)

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