IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
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| Format: | Artículo científico |
| Langue: | en |
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Universidad de Tarapacá
2009
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| _version_ | 1876468808257896448 |
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| author | Pablo Daniel Agüero |
| author_facet | Pablo Daniel Agüero |
| contents | IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS Pablo Daniel Agüero Jorge Castiñeira Moreira Monica Liberatori Juan Carlos Bonadero Juan Carlos Tulli Ingeniería of out Spam filtering vocabulary 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. 2009 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77212231012 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.3 Vol.17 |
| format | Artículo científico |
| id | redalyc_77212231012 |
| institution | Redalyc |
| language | en |
| publishDate | 2009 |
| publisher | Universidad de Tarapacá |
| spellingShingle | IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS Pablo Daniel Agüero Ingeniería of out Spam filtering vocabulary IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS Pablo Daniel Agüero Jorge Castiñeira Moreira Monica Liberatori Juan Carlos Bonadero Juan Carlos Tulli Ingeniería of out Spam filtering vocabulary 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. 2009 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77212231012 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.3 Vol.17 |
| title | IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS |
| topic | Ingeniería of out Spam filtering vocabulary |
| url | https://www.redalyc.org/articulo.oa?id=77212231012 |