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Concept lattice is a new mathematical tool for data analysis and knowledge processing. Attribute reduction is very important in the theory of concept lattice because it can make the discovery of implicit knowledge in data easier and the representation simpler. In this paper the reduction of the concept lattice was investigated. First, we present a close-degree of concept to measure the close-degree...
Efficient processing of similarity joins is important for a large class of data analysis and data-mining applications. This primitive finds all pairs of records within a predefined distance threshold of each other. However, most of the existing approaches have been based on spatial join techniques designed primarily for data in a vector space. Treating data collections as metric objects brings a great...
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