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Modelling evolving user behaviours

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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.authorPlamen, Angelov
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-03-23T12:57:04Z
dc.date.available2011-03-23T12:57:04Z
dc.date.issued2009-05
dc.descriptionProceeding of: IEEE Workshop on Evolving and Self-Developing Intelligent Systems (ESDIS 2009), Nashville, TN, USA, March-April, 29th-2nd, 2009.
dc.description.abstractKnowledge about computer users is very beneficial for assisting them, predicting their future actions or detecting masqueraders. In this paper, a new approach for creating and recognizing automatically the behaviour profile of a computer user is presented. In this case, a computer user behaviour is represented as the sequence of the commands (s)he types during her/his work. This sequence is transformed into a distribution of relevant subsequences of commands in order to find out a profile that defines its behaviour. Also, because of a user profile is not necessarily fixed but rather it evolves/changes, we propose an evolving method to keep up to date the created profiles using an Evolving Systems approach. In this paper we combine the evolving classifier with a trie-based user profiling to obtain a powerful self-learning on-line scheme. We also develop further the recursive formula of the potential of a data point to become a cluster centre using cosine distance which is provided in the Appendix. The novel approach proposed in this paper can be applicable to any problem of dynamic/evolving user behaviour modelling where it can be represented as a sequence of actions and events. It has been evaluated on several real data streams.
dc.description.sponsorshipThis work is partially supported by the Spanish Government under project TRA2007-67374-C02-02
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE Workshop on Evolving and Self-Developing Intelligent Systems (ESDIS '09). IEEE, 2009, pp. 16-23.
dc.identifier.doi10.1109/ESDIS.2009.4938994
dc.identifier.isbn978-1-4244-2754-3
dc.identifier.publicationfirstpage16
dc.identifier.publicationlastpage23
dc.identifier.publicationtitleIEEE Workshop on Evolving and Self-Developing Intelligent Systems (ESDIS '09)
dc.identifier.urihttps://hdl.handle.net/10016/10566
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdateMarch-April, 29th-2nd, 2009
dc.relation.eventplaceNashville (TN, USA)
dc.relation.eventtitleIEEE Workshop on Evolving and Self-Developing Intelligent Systems (ESDIS 2009)
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ESDIS.2009.4938994
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherBehaviour profile
dc.subject.otherComputer user behaviour
dc.subject.otherEvolving systems
dc.subject.otherRecursive formula
dc.subject.otherTrie-based user profiling
dc.titleModelling evolving user behaviours
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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