3D geovisualisation techniques applied in spatial data mining

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorValêncio, Carlos Roberto
dc.creatorKawabata, Thatiane
dc.creatorDe Medeiros, Camila Alves
dc.creatorDe Souza, Rogéria Cristiane Gratão
dc.creatorMachado, José Márcio
dc.date2014-05-27T11:30:09Z
dc.date2016-10-25T18:52:35Z
dc.date2014-05-27T11:30:09Z
dc.date2016-10-25T18:52:35Z
dc.date2013-08-13
dc.date.accessioned2017-04-06T02:34:22Z
dc.date.available2017-04-06T02:34:22Z
dc.identifierLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7988 LNAI, p. 57-68.
dc.identifier0302-9743
dc.identifier1611-3349
dc.identifierhttp://hdl.handle.net/11449/76255
dc.identifierhttp://acervodigital.unesp.br/handle/11449/76255
dc.identifier10.1007/978-3-642-39712-7_5
dc.identifier2-s2.0-84881254091
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-39712-7_5
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/896956
dc.descriptionThe 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.
dc.languageeng
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsinfo:eu-repo/semantics/closedAccess
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 mining
dc.typeOtro


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