IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS

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...

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Autores principales:	Agüero,Pablo Daniel, Castiñeira Moreira,Jorge, Liberatori,Monica, Bonadero,Juan Carlos, Tulli,Juan Carlos
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2009
Materias:	Spam filtering out-of-vocabulary
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300012
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spelling	oai:scielo:S0718-330520090003000122010-09-07IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICSAgüero,Pablo DanielCastiñeira Moreira,JorgeLiberatori,MonicaBonadero,Juan CarlosTulli,Juan Carlos Spam filtering out-of-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.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.17 n.3 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300012en10.4067/S0718-33052009000300012
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Spam filtering out-of-vocabulary
spellingShingle	Spam filtering out-of-vocabulary Agüero,Pablo Daniel Castiñeira Moreira,Jorge Liberatori,Monica Bonadero,Juan Carlos Tulli,Juan Carlos IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
description	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.
author	Agüero,Pablo Daniel Castiñeira Moreira,Jorge Liberatori,Monica Bonadero,Juan Carlos Tulli,Juan Carlos
author_facet	Agüero,Pablo Daniel Castiñeira Moreira,Jorge Liberatori,Monica Bonadero,Juan Carlos Tulli,Juan Carlos
author_sort	Agüero,Pablo Daniel
title	IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
title_short	IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
title_full	IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
title_fullStr	IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
title_full_unstemmed	IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS
title_sort	improving the performance of anti-spam filters using out-of-vocabulary statistics
publisher	Universidad de Tarapacá.
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300012
work_keys_str_mv	AT agueropablodaniel improvingtheperformanceofantispamfiltersusingoutofvocabularystatistics AT castineiramoreirajorge improvingtheperformanceofantispamfiltersusingoutofvocabularystatistics AT liberatorimonica improvingtheperformanceofantispamfiltersusingoutofvocabularystatistics AT bonaderojuancarlos improvingtheperformanceofantispamfiltersusingoutofvocabularystatistics AT tullijuancarlos improvingtheperformanceofantispamfiltersusingoutofvocabularystatistics
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IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS

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