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Rapid Detection of Significant Spatial Clusters in Spatial Data Mining

The paper discusses a key aspect of Spatial Data Mining: executing complex searches on spatial data to identify interesting and unexpected patterns. It emphasizes the importance of distinguishing significant patterns from those that may have arisen by chance. An example presented in the paper involves epidemiological data, illustrating the method's effectiveness in revealing significant spatial clusters that warrant further investigation, ultimately aiding in public health decision-making and resource allocation.

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Rapid Detection of Significant Spatial Clusters in Spatial Data Mining

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