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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorSalamó Llorente, Maria
dc.contributor.authorGolobardes, Elisabet
dc.date.accessioned2021-06-30T06:10:40Z
dc.date.accessioned2023-07-13T09:53:42Z
dc.date.available2021-06-30T06:10:40Z
dc.date.available2023-07-13T09:53:42Z
dc.date.issued2003-05
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3005
dc.description.abstractCase memory maintenance in a Case-Based Reasoning sys-tem is important for two main reasons: (1) to control the casememory size; (2) to reduce irrelevant and redundant instancesthat may produce inconsistencies in the Case-Based Reason-ing system. In this paper we present two approaches based ondeletion policies to the maintenance of case memories. Thefoundations of both approaches are the Rough Sets Theory,but each one applies a different policy to delete or maintaincases. The main purpose of these methods is to maintain thecompetence of the system and reduce, as much as possible,the size of the case memory. Experiments using different do-mains, most of them from the UCI repository, show that thereduction techniques maintain the competence obtained bythe original case memory. The results obtained are comparedwith those obtained using well-known reduction techniques.eng
dc.format.extent5 p.cat
dc.language.isoengcat
dc.publisher16th International Florida Artificial Intelligence Research Society Conference, Florida, 12-14 of May 2003cat
dc.relation.ispartofProceeding of the 16th International Florida Artificial Intelligence Research Society Conferencecat
dc.rights© Association for the Advancement of Artificial Intelligence. Tots els drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherRaonament basat en casoscat
dc.titleHybrid Deletion Policies for Case Base Maintenancecat
dc.typeinfo:eu-repo/semantics/conferenceObjectcat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004
dc.subject.udc62


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