A Survey of Learning-Based Techniques of Email Spam Filtering

Blanzieri, Enrico and Bryl, Anton (2006) A Survey of Learning-Based Techniques of Email Spam Filtering. UNSPECIFIED. (In Press)

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    Email spam is one of the major problems of the today’s Internet, bringing financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is an important and popular one. In this paper we give an overview of the state of the art of machine learning applications for spam filtering, and of the ways of evaluation and comparison of different filtering methods. We also provide a brief description of other branches of anti-spam protection and discuss the use of various approaches in commercial and noncommercial anti-spam software solutions.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software
    Report Number: DIT-06-056
    Repository staff approval on: 05 Feb 2008

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