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A similarity graph-based approach to declustering problems and its application towards parallelizing grid files

ICDE, pp.373-381, (1995)

Cited by: 53|Views12
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Abstract

We propose a new similarity-based technique for declustering data. The proposed method can adapt to available information about query distributions, data distributions, data sizes and partition-size constraints. The method is based on max-cut partitioning of a similarity graph defined over the given set of data, under constraints on the p...More

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