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When data mining techniques are applied to uncertain data, their uncertainty has to be considered to obtain high quality results. Usually, an uncertain object is described by a probability density function, a probability density function is approximated by a large amount of sample points, and the distance between two uncertain objects is expressed by the expected distance. Computing the expected distance...
Visual spatial data mining is an effective way to discover knowledge from huge amounts of spatial data. The systematic study and development of visual spatial data mining techniques will facilitate the promotion and use of spatial data mining as a tool for spatial data analysis. This paper introduces a Web-based visual spatial co-location patterns' mining prototype system (SCPMiner). In SCPMiner,...
With the rapid growth and extensive applications of the spatial dataset, itpsilas getting more important to solve how to find spatial knowledge automatically from spatial datasets. Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Itpsilas difficult to discovery co-location patterns because of the huge amount of data...
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