Near-Duplicate Mail Detection Based on URL Information for Spam Filtering

Author:

Yeh Chun-Chao,Lin Chia-Hui

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Weinstein, L.: Inside risks: Spam wars. Communication of ACM 46(8), 136–136 (2003)

2. Corbato, F.J.: On computer system challenges. Journal of ACM 50(1), 30–31 (2003)

3. Sahami, M., Dumaisy, S., Heckermany, D., Horvitzy, E.: A Bayesian approach to filtering junk E-Mail. In: Proc. Of AAAI Workshop on Learning for Text Categorization, Madison, Wisconsin, July 1998, pp. 55–62 (1998)

4. Graham, P.: A plan for spam (August 2002), http://www.paulgraham.com/spam.html

5. Androutsopoulos, I., Paliouras, G., Karkaletsis, V., Sakkis, G., Spyropoulos, C., Stamatopoulos, P.: Learning to filter spam e-mail: A comparison of a naive bayesian and a memorybased approach. In: Proc. of the PKDD workshop on Machine Learning and Textual Information Access, pp. 1–13 (2000)

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1. Detecting Near-Duplicate SPITs in Voice Mailboxes Using Hashes;Lecture Notes in Computer Science;2011

2. Knowledge Base Compound Approach towards Spam Detection;Recent Trends in Network Security and Applications;2010

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