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Optimising anti-spam filters with evolutionary algorithms

2013-08Artigo científico Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorYevseyeva, Iryna
dc.contributor.authorBasto-Fernandes, Vitor
dc.contributor.authorRuano-Ordás, David
dc.contributor.authorMéndez, José R.
dc.date.accessioned2026-03-10T19:34:28Z
dc.date.available2026-03-10T19:34:28Z
dc.date.issued2013-08
dc.description.abstractThis work is devoted to the problem of optimising scores for anti-spam filters, which is essential for the accuracy of any filter based anti-spam system, and is also one of the biggest challenges in this research area. In particular, this optimisation problem is considered from two different points of view: single and multiobjective problem formulations. Some of existing approaches within both formulations are surveyed, and their advantages and disadvantages are discussed. Two most popular evolutionary multiobjective algorithms and one single objective algorithm are adapted to optimisation of the anti-spam filters' scores and compared on publicly available datasets widely used for benchmarking purposes. This comparison is discussed, and the recommendations for the developers and users of optimising anti-spam filters are provided.eng
dc.identifier.citationIryna Yevseyeva, Vitor Basto-Fernandes, David Ruano-Ordás, José R. Méndez, Optimising anti-spam filters with evolutionary algorithms, Expert Systems with Applications, Volume 40, Issue 10, 2013, Pages 4010-4021, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2013.01.008
dc.identifier.doi10.1016/j.eswa.2013.01.008
dc.identifier.issn0957-4174
dc.identifier.urihttp://hdl.handle.net/10400.8/15831
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S0957417413000110?via%3Dihub
dc.relation.ispartofExpert Systems with Applications
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAnti-spam filters
dc.subjectEvolutionary computation
dc.subjectGenetic algorithms
dc.subjectMultiobjective optimisation
dc.titleOptimising anti-spam filters with evolutionary algorithmseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage4021
oaire.citation.issue10
oaire.citation.startPage4010
oaire.citation.titleExpert Systems with Applications
oaire.citation.volume40
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBasto-Fernandes
person.givenNameVitor
person.identifier.ciencia-id581C-52BB-AC4E
person.identifier.orcid0000-0003-4269-5114
person.identifier.ridN-1891-2016
person.identifier.scopus-author-id53363129900
relation.isAuthorOfPublicationfb2d3703-9d6a-4c22-bbc4-9ff14c162feb
relation.isAuthorOfPublication.latestForDiscoveryfb2d3703-9d6a-4c22-bbc4-9ff14c162feb

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