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User modeling: through statistical analysis and an evolving classifier

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorIglesias Martínez, José Antonio
dc.contributor.authorAngelov, Plamen
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-03-17T11:48:40Z
dc.date.available2011-03-17T11:48:40Z
dc.date.issued2010
dc.descriptionProceeding of: 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) in the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010). Barcelona, Spain, July, 18th - 23th, 2010.
dc.description.abstractKnowledge about computer users is very beneficial for assisting them, predicting their future actions or detecting masqueraders. In this paper, an approach for creating and recognizing automatically the behavior profile of a computer user is combined with an evolving method to keep up to date the created profiles. The behavior of a computer is represented in this research as the sequence of commands s/he types during a period of time. This sequence is treated using statistical methods in order to create the corresponding user profile. However, as a user profile is usually not fixed but rather it changes and evolves, we propose a user profile classifier based on Evolving Systems. This paper describes briefly the model creation method and the evolving classifier, which are compared with well established off-line and on-line classifiers.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 3226-3233.
dc.identifier.doi10.1109/FUZZY.2010.5584905
dc.identifier.isbn978-1-4244-6919-2
dc.identifier.issn1098-7584
dc.identifier.publicationfirstpage3226
dc.identifier.publicationlastpage3233
dc.identifier.publicationtitle2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
dc.identifier.urihttps://hdl.handle.net/10016/10479
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdateJuly, 18th - 23th, 2010
dc.relation.eventplaceBarcelona (Spain)
dc.relation.eventtitle2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) in the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010)
dc.relation.publisherversionhttp://dx.doi.org/10.1109/FUZZY.2010.5584905
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherEvolving fuzzy behaviours
dc.subject.otherBehavior modeling
dc.titleUser modeling: through statistical analysis and an evolving classifier
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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