R. Segal, J. Crawford, J. Kephart and B. Leib, “SpamGuru: An Enterprise Anti-Spam Filtering System,” IBM Thomas J. Watson Research Center. http://www.research.ibm.com/people/r/rsegal/papers/spamguru-overview.pdf.

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.