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M. F. Saeddian and H. Beigy, “Spam Detection Using Dynamic Weighted Voting Based on Clustering,” Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application, Vol. 2, pp. 122-126. doi:10.1109/IITA.2008.140

has been cited by the following article:

• TITLE: Survey on Spam Filtering Techniques

  AUTHORS: Saadat Nazirova

  KEYWORDS: E-mail Spam, Unsolicited Bulk Messages, Filtering, Traditional Methods, Learning-Based Methods, Classification

  JOURNAL NAME: Communications and Network, Vol.3 No.3, August 10, 2011

  ABSTRACT: In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement for new approach in spam filtering technique is considered.