2 papers
cs.CL2001
Stacking classifiers for anti-spam filtering of e-mail
G. Sakkis, I. Androutsopoulos, G. Paliouras +3
We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categ…
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…