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dc.contributor.authorCarmona-Cejudo, José M.
dc.contributor.authorBaena-García, Manuel
dc.contributor.authordel Campo-Ávila, José
dc.contributor.authorMorales-Bueno, Rafael
dc.contributor.authorBifet, Albert
dc.coverage.spatialConference held at Lisbon, Portugalen_NZ
dc.date.accessioned2011-06-21T04:01:48Z
dc.date.available2011-06-21T04:01:48Z
dc.date.issued2011
dc.identifier.citationCarmona-Cejudo, J. M., Baena-García, M., del Campo-Ávila, J., Morales-Bueno, R., & Bifet, A. (2011). GNUsmail: Open framework for on-line email classification. In Frontiers in Artificial Intelligence and Applications (pp. 1141–1142). IOS Press. http://doi.org/10.3233/978-1-60750-606-5-1141en
dc.identifier.urihttps://hdl.handle.net/10289/5411
dc.description.abstractReal-time classification of massive email data is a challenging task that presents its own particular difficulties. Since email data presents an important temporal component, several problems arise: emails arrive continuously, and the criteria used to classify those emails can change, so the learning algorithms have to be able to deal with concept drift. Our problem is more general than spam detection, which has received much more attention in the literature. In this paper we present GNUsmail, an open-source extensible framework for email classification, which structure supports incremental and on-line learning. This framework enables the incorporation of algorithms developed by other researchers, such as those included in WEKA and MOA. We evaluate this framework, characterized by two overlapping phases (pre-processing and learning), using the ENRON dataset, and we compare the results achieved by WEKA and MOA algorithms.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIOS Pressen_NZ
dc.rightsThis article has been published in the Proceedings of ECAI 2010 - 19th European Conference on Artificial Intelligence. © 2010 The authors and IOS Press.en_NZ
dc.subjectcomputer scienceen_NZ
dc.subjectWEKAen_NZ
dc.subjectMOAen_NZ
dc.titleGNUsmail: Open framework for on-line email classificationen_NZ
dc.typeConference Contributionen_NZ
dc.identifier.doi10.3233/978-1-60750-606-5-1141en_NZ
dc.relation.isPartOfFrontiers in Artificial Intelligence and Applications
pubs.begin-page1141
pubs.elements-id20577
pubs.end-page1142
pubs.finish-date2010-08-20en_NZ
pubs.start-date2010-08-16en_NZ
pubs.volumeFrontiers in Artificial Intelligence and Applications 215en_NZ


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