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Publicação:
3D geovisualisation techniques applied in spatial data mining

dc.contributor.authorValêncio, Carlos Roberto [UNESP]
dc.contributor.authorKawabata, Thatiane [UNESP]
dc.contributor.authorDe Medeiros, Camila Alves [UNESP]
dc.contributor.authorDe Souza, Rogéria Cristiane Gratão [UNESP]
dc.contributor.authorMachado, José Márcio [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:30:09Z
dc.date.available2014-05-27T11:30:09Z
dc.date.issued2013-08-13
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.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.format.extent57-68
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.doi10.1007/978-3-642-39712-7_5
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.lattes5914651754517864
dc.identifier.orcid0000-0002-7449-9022
dc.identifier.scopus2-s2.0-84881254091
dc.identifier.urihttp://hdl.handle.net/11449/76255
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofsjr0,295
dc.rights.accessRightsAcesso aberto
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.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights
dspace.entity.typePublication
unesp.author.lattes5914651754517864[4]
unesp.author.orcid0000-0002-7449-9022[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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