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Sequence classification using statistical pattern recognition

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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.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-04-05T11:51:11Z
dc.date.available2011-04-05T11:51:11Z
dc.date.issued2007
dc.descriptionProceeding of: 7th International Symposium on Intelligent Data Analysis. IDA-2007. Ljubljana, Slovenia, September, 6th-8th, 2007.
dc.description.abstractSequence classification is a significant problem that arises in many different real-world applications. The purpose of a sequence classifier is to assign a class label to a given sequence. Also, to obtain the pattern that characterizes the sequence is usually very useful. In this paper, a technique to discover a pattern from a given sequence is presented followed by a general novel method to classify the sequence. This method considers mainly the dependencies among the neighbouring elements of a sequence. In order to evaluate this method, a UNIX command environment is presented, but the method is general enough to be applied to other environments.
dc.description.sponsorshipThis work has been supported by the Spanish Government under project TRA2004-07441-C03-2/IA.
dc.description.statusPublicado
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationAdvances in Intelligent Data Analysis VII: 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007. Springer, 2007, pp. 207-218
dc.identifier.doi10.1007/978-3-540-74825-0_19
dc.identifier.isbn978-3-540-74824-3
dc.identifier.issn0302-9743 (print)
dc.identifier.issn1611-3349 (online)
dc.identifier.publicationfirstpage207
dc.identifier.publicationlastpage218
dc.identifier.publicationtitleAdvances in Intelligent Data Analysis VII: 7th International Symposium on Intelligent Data Analysis, IDA 2007
dc.identifier.urihttps://hdl.handle.net/10016/10606
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateSeptember, 6th-8th, 2007
dc.relation.eventnumber7
dc.relation.eventplaceLjubljana (Slovenia)
dc.relation.ispartofseriesLecture notes in computer science, 2007, Vol. 4723
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-540-74825-0_19
dc.rights© Springer-Verlag Berlin Heidelberg
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherSequence Classification
dc.subject.otherSequence Learning
dc.subject.otherStatistical Pattern Recognition
dc.subject.otherBehavior Recognition
dc.titleSequence classification using statistical pattern recognition
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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