Method and application of comprehensive knowledge discovery |
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Authors: | Sha Zongyao Bian Fuling |
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Institution: | Centre of Spatial Information and Digital Engineering , Wuhan University , Wuhan , China |
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Abstract: | This paper proposes the principle of comprehensive knowledge discovery. Unlike most of the current knowledge discovery methods, the comprehensive knowledge discovery considers both the spatial relations and attributes of spatial entities or objects. We introduce the theory of spatial knowledge expression system and some concepts including comprehensive knowledge discovery and spatial union information table (SUIT). In theory, SUIT records all information contained in the studied objects, but in reality, because of the complexity and varieties of spatial relations, only those factors of interest to us are selected. In order to find out the comprehensive knowledge from spatial databases, an efficient comprehensive knowledge discovery algorithm called recycled algorithm (RAR) is suggested. |
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Keywords: | comprehensive knowledge discovery knowledge discovery algorithm spatial association rule knowledge expression system data mining |
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