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cs.CL2000
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis +3
We investigate the performance of two machine learning algorithms in the context of anti-spam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee…
cs.CL2000
An Experimental Comparison of Naive Bayesian and Keyword-Based Anti-Spam Filtering with Personal E-mail Messages
Ion Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos +1
The growing problem of unsolicited bulk e-mail, also known as "spam", has generated a need for reliable anti-spam e-mail filters. Filters of this type have so far been based mostly…