Publication:
An evolving framework for clustering computer users

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.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-05-24T14:15:55Z
dc.date.available2011-05-24T14:15:55Z
dc.date.issued2010
dc.descriptionProceeding of: International Symposium on Evolving Intelligent Systems (EIS'10) in the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10. Leicester, United Kingdom, 29th March - 1st April, 2010.
dc.description.abstractThe idea of clustering computer users is very beneficial for making recommendations to a user based on the histories of other users with similar preferences, detecting changes in the behavior of a user, and so on. However, computer users have different needs as they learn to use a software system or their goals changes. Although there are several approaches for clustering users, most of them do not consider the changes in their behavior. In this paper, we present an approach for clustering automatically the behavior profile of a computer user and an evolving method based on Evolving Systems to keep up to date the created profile clusters.
dc.description.sponsorshipThis work is partially supported by the Spanish Government under project TRA2007-67374-C02-02
dc.description.statusNo publicado
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationInternational Symposium on Evolving Intelligent Systems (EIS'10) in the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10, pp.1-4.
dc.identifier.urihttps://hdl.handle.net/10016/11243
dc.language.isoeng
dc.relation.eventdate29th March - 1st April, 2010
dc.relation.eventnumber36
dc.relation.eventplaceLeicester (United Kingdom)
dc.relation.eventtitleAnnual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleAn evolving framework for clustering computer users
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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