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As spectral clustering has become increasingly popular in recent years, further research on it is very important. Due to the important role of discretization in data mining, a new clustering approach integrating discretization with density-sensitive spectral clustering namely density-sensitive spectral clustering of categorized data (DSSCCAT) is proposed. To alleviate the high computational complexity...
Schema matching, the problem of finding semantic correspondences between elements of two schemas, plays a key role in many applications, such as data warehouse, E-Commerce. The existing approaches to automating schema matching almost focus on computing direct element matches (1:1 matches) between two schemas. However, relationships between real-world schemas involve many complex matches besides 1:1...
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