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• W1573443721 abstract "Selectivity estimation of queries not only provides useful information to the query processing optimization but also may give users a preview of processing results. In this paper, we investigate the problem of selectivity estimation in the context of a spatial dataset. Specifically, we focus on the calculation of four relations, contains, contained, overlap and disjoint, between data objects and a query rectangle using Euler-histograms. We first provide a multi-resolution algorithm which can lead to the exact solutions but at the cost of storage space. To conform to a given storage space, we also provide an approximate algorithm based on a hybrid multi-resolution paradigm. Our experiments suggest that our algorithms greatly outperform the existing techniques." @default.
• W1573443721 created "2016-06-24" @default.
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• W1573443721 date "2003-01-01" @default.
• W1573443721 modified "2023-09-26" @default.
• W1573443721 title "Multi-resolution algorithms for building spatial histograms" @default.
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