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Query rewriting for semantic query optimization in spatial databases
(2019)
Query processing is an important challenge for spatial databases due to the use of complex data types that represent spatial attributes. In particular, due to the cost of spatial joins, several optimization algorithms based ...
3D geovisualisation techniques applied in spatial data mining
(2013-08-13)
The 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 ...
3D geovisualisation techniques applied in spatial data mining
(2013-08-13)
The 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 ...
Embedding vague spatial objects into spatial databases using the VagueGeometry abstract data type
(Instituto Nacional de Pesquisas Espaciais - INPEUniversidade Federal de Santa Catarina - UFSCCampos do Jordão, 2015-11)
Spatial vagueness has been required by geoscientists to handle vague spatial objects, i.e., spatial objects that do not have exact locations, strict boundaries, or sharp interiors. However, there is a gap in the literature ...
SOLAM: A Novel Approach of Spatial Aggregation in SOLAP Systems
In the context of a data driven approach aimed to detect the real and responsible factors of the transmission of diseases and explaining its emergence or re-emergence, we suggest SOLAM (Spatial on Line Analytical Mining) ...
Spatial clustering applied to health area
(2011-12-01)
The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation ...
Spatial clustering applied to health area
(2011-12-01)
The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation ...