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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/76255
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dc.contributor.authorValêncio, Carlos Roberto-
dc.contributor.authorKawabata, Thatiane-
dc.contributor.authorDe Medeiros, Camila Alves-
dc.contributor.authorDe Souza, Rogéria Cristiane Gratão-
dc.contributor.authorMachado, José Márcio-
dc.date.accessioned2014-05-27T11:30:09Z-
dc.date.accessioned2016-10-25T18:52:35Z-
dc.date.available2014-05-27T11:30:09Z-
dc.date.available2016-10-25T18:52:35Z-
dc.date.issued2013-08-13-
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-39712-7_5-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7988 LNAI, p. 57-68.-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/11449/76255-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/76255-
dc.description.abstractThe increase in the number of spatial data collected has motivated the development of geovisualisation techniques, aiming to provide an important resource to support the extraction of knowledge and decision making. One of these techniques are 3D graphs, which provides a dynamic and flexible increase of the results analysis obtained by the spatial data mining algorithms, principally when there are incidences of georeferenced objects in a same local. This work presented as an original contribution the potentialisation of visual resources in a computational environment of spatial data mining and, afterwards, the efficiency of these techniques is demonstrated with the use of a real database. The application has shown to be very interesting in interpreting obtained results, such as patterns that occurred in a same locality and to provide support for activities which could be done as from the visualisation of results. © 2013 Springer-Verlag.en
dc.format.extent57-68-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectDatabase-
dc.subjectGeographic Information System-
dc.subjectGeovisualisation-
dc.subjectSpatial Data Mining-
dc.subject3d graphs-
dc.subjectComputational environments-
dc.subjectReal database-
dc.subjectSpatial data-
dc.subjectSpatial data mining-
dc.subjectAlgorithms-
dc.subjectDatabase systems-
dc.subjectGeographic information systems-
dc.subjectLearning systems-
dc.subjectPattern recognition-
dc.subjectThree dimensional-
dc.subjectData mining-
dc.title3D geovisualisation techniques applied in spatial data miningen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSão Paulo State University Departamento de Ciências de Computação e Estatística, Rua Cristóvão Colombo, 2265, São José do Rio Preto, São Paulo-
dc.description.affiliationUnespSão Paulo State University Departamento de Ciências de Computação e Estatística, Rua Cristóvão Colombo, 2265, São José do Rio Preto, São Paulo-
dc.identifier.doi10.1007/978-3-642-39712-7_5-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.identifier.scopus2-s2.0-84881254091-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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