Comparing content-filter techniques for stopping spam
conference contributionposted on 26.11.2008 by Andrew Akehurst, Iain Phillips, Mark S. Withall
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
There are many new theoretical techniques for detecting spam e-mail based upon the message contents. Although Bayesian methods are the most wellknown, there are other approaches for classifying information. This paper establishes some criteria for measuring spam filter effectiveness and compares the Boosting and Support Vector Machine approaches with some well-known existing filter software. It also examines ways of transforming e-mail messages into a form which is more readily processable by such algorithms.
- Computer Science