%0 Journal Article
%T IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
%A Ag¨¹ero
%A Pablo Daniel
%A Casti£¿eira Moreira
%A Jorge
%A Liberatori
%A Monica
%A Bonadero
%A Juan Carlos
%A Tulli
%A Juan Carlos
%J Ingeniare. Revista chilena de ingenier¨ªa
%D 2009
%I Scientific Electronic Library Online
%R 10.4067/S0718-33052009000300012
%X this paper presents a feature based on out-of-vocabulary word statistics that complements the information sources used in the decision by state-of-the-art spam filters. the experiments included freely available spam filters as reference, spamassassin, bogofilter, spambayes and spamprobe, as well as a naive bayes classifier. the results show that the decision based on the proposed feature improves the performance of all spam filters under study.
%K spam
%K filtering
%K out-of-vocabulary.
%U http://www.scielo.cl/scielo.php?script=sci_abstract&pid=S0718-33052009000300012&lng=en&nrm=iso&tlng=en