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dc.contributor.authorSevilla-Villanueva, Beatriz
dc.contributor.authorGibert, Karina
dc.contributor.authorSànchez-Marrè, Miquel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-11-23T07:56:29Z
dc.date.issued2016
dc.identifier.citationSevilla-Villanueva, Beatriz, Gibert, Karina, Sanchez, M. A methodology for maintaining consistency between conceptual interpretations of nested partitions. A: International Conference of the Catalan Association for Artificial Intelligence. "Artificial Intelligence Research and Development: proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016". Barcelona: 2016, p. 147-156.
dc.identifier.isbn978-1-61499-696-5
dc.identifier.urihttp://hdl.handle.net/2117/97066
dc.description.abstractThe relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is proposed in order to maintain the consistency between interpretations of nested partitions. This methodology extends a previous methodology that obtains classes' descriptors by determining the significance's robustness of the characteristics significance. Then, NCI-IMS takes advantage of the descriptors robustness obtaining a deeper analysis of the relations between superclass's and subclasses' descriptors. © 2016 The authors and IOS Press. All rights reserved.
dc.format.extent10 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses
dc.subject.lcshData mining
dc.subject.lcshMathematical statistics
dc.subject.lcshOlive oil--Health aspects
dc.subject.otherArtificial intelligence
dc.subject.otherAutomatic Profiling
dc.subject.otherConsistent Cluster Interpretation
dc.subject.otherDescriptors
dc.subject.otherNested partitions
dc.titleA methodology for maintaining consistency between conceptual interpretations of nested partitions
dc.typeConference report
dc.subject.lemacMineria de dades
dc.subject.lemacEstadística matemàtica -- Aplicacions
dc.subject.lemacOli d'oliva
dc.subject.lemacSalut
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.identifier.doi10.3233/978-1-61499-696-5-147
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ebooks.iospress.nl/publication/45323
dc.rights.accessRestricted access - publisher's policy
drac.iddocument19102275
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorSevilla-Villanueva, Beatriz, Gibert, Karina, Sanchez, M.
upcommons.citation.contributorInternational Conference of the Catalan Association for Artificial Intelligence
upcommons.citation.pubplaceBarcelona
upcommons.citation.publishedtrue
upcommons.citation.publicationNameArtificial Intelligence Research and Development: proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016
upcommons.citation.startingPage147
upcommons.citation.endingPage156


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