Far Beyond the Classical Data Models: Symbolic Data Analysis

dc.contributor.author Monique Noirhomme-Fraiture en
dc.contributor.author Paula Brito en
dc.date.accessioned 2017-11-16T14:09:52Z
dc.date.available 2017-11-16T14:09:52Z
dc.date.issued 2011 en
dc.description.abstract This paper introduces symbolic data analysis, explaining how it extends the classical data models to take into account more complete and complex information. Several examples motivate the approach, before the modeling of variables assuming new types of realizations are formally presented. Some methods for the (multivariate) analysis of symbolic data are presented and discussed. This is however far from being exhaustive, given the present dynamic development of this new field of research. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/2816
dc.identifier.uri http://dx.doi.org/10.1002/sam.10112 en
dc.language eng en
dc.relation 4984 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Far Beyond the Classical Data Models: Symbolic Data Analysis en
dc.type article en
dc.type Publication en
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