Abstract
Spatial data mining refers to the extraction of implicit, nontrivial and previously unknown knowledge, in the form of spatial and non-spatial patterns, from spatial data repositories. These repositories include a number space-related data, such as maps, pre-processed remote sensing or medical imaging data, amongst others. In addition, the data repositories are usually ordered using complex spatial indexing structures.
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