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dc.contributor.authorMata Conde, Aitor
dc.date.accessioned2017-09-06T09:15:07Z
dc.date.available2017-09-06T09:15:07Z
dc.date.issued2009
dc.identifier.citationInternational Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing. Volumen 50, pp. 582-586.
dc.identifier.isbn978-3-540-85862-1 (Print) / 978-3-540-85863-8 (Online)
dc.identifier.issn1615-3871(Print) / 1860-0794(Online)
dc.identifier.urihttp://hdl.handle.net/10366/134948
dc.description.abstractCase-Based Reasoning is a methodology that uses information that has been considered as valid in previous situations to solve new problems. That use of the information allows CBR systems to be applied to different fields where the reutilization of past good solutions is a key factor. In this paper some of the most modern applications of the CBR methodology are revised in order to obtain a global vision of the techniques used to develop functional systems. In order to analyze the systems, the four main phases of the CBR cycled are considered as the key elements to organize an application based on CBR.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.subjectComputer Science
dc.titleA Survey of Distributed and Data Intensive CBR Systems
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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