Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/12778
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Basto-Fernandes, V. | - |
dc.contributor.author | Yevseyeva, I. | - |
dc.contributor.author | Méndez, J. R. | - |
dc.contributor.author | Zhao, J. | - |
dc.contributor.author | Fdez-Riverola, F. | - |
dc.contributor.author | Emmerichd, M. T. M. | - |
dc.date.accessioned | 2017-04-05T15:17:53Z | - |
dc.date.available | 2017-04-05T15:17:53Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1568-4946 | - |
dc.identifier.uri | http://hdl.handle.net/10071/12778 | - |
dc.description.abstract | Classifier performance optimization in machine learning can be stated as a multi-objective optimization problem. In this context, recent works have shown the utility of simple evolutionary multi-objective algorithms (NSGA-II, SPEA2) to conveniently optimize the global performance of different anti-spam filters. The present work extends existing contributions in the spam filtering domain by using three novel indicator-based (SMS-EMOA, CH-EMOA) and decomposition-based (MOEA/D) evolutionary multi objective algorithms. The proposed approaches are used to optimize the performance of a heterogeneous ensemble of classifiers into two different but complementary scenarios: parsimony maximization and e-mail classification under low confidence level. Experimental results using a publicly available standard corpus allowed us to identify interesting conclusions regarding both the utility of rule-based classification filters and the appropriateness of a three-way classification system in the spam filtering domain. | eng |
dc.language.iso | eng | - |
dc.publisher | Elsevier | - |
dc.relation | 14VI05 | - |
dc.rights | openAccess | por |
dc.subject | Spam filtering | eng |
dc.subject | Multi-objective optimization | eng |
dc.subject | Parsimony | eng |
dc.subject | Three-way classification | eng |
dc.subject | Rule-based classifiers | eng |
dc.subject | SpamAssassin | eng |
dc.title | A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification | eng |
dc.type | article | - |
dc.pagination | 111 - 123 | - |
dc.publicationstatus | Publicado | por |
dc.peerreviewed | yes | - |
dc.journal | Applied Soft Computing | - |
dc.distribution | Internacional | por |
dc.volume | 48 | - |
degois.publication.firstPage | 111 | - |
degois.publication.lastPage | 123 | - |
degois.publication.title | A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification | eng |
dc.date.updated | 2019-04-12T11:53:57Z | - |
dc.description.version | info:eu-repo/semantics/submittedVersion | - |
dc.identifier.doi | 10.1016/j.asoc.2016.06.043 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-29940 | - |
iscte.alternateIdentifiers.wos | WOS:000389549400009 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-84978764270 | - |
Aparece nas coleções: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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82086243.pdf | Pré-print | 1,98 MB | Adobe PDF | Ver/Abrir |
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