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GEOINFORMATICA
2006

Spatial Query Estimation without the Local Uniformity Assumption

13 years 3 months ago
Spatial Query Estimation without the Local Uniformity Assumption
Existing estimation approaches for spatial databases often rely on the assumption that data distribution in a small region is uniform, which seldom holds in practice. Moreover, their applicability is limited to specific estimation tasks under certain distance metric. This paper develops the Power-method, a comprehensive technique applicable to a wide range of query optimization problems under both L1 and L2 metrics. The Power-method eliminates the local uniformity assumption and is, therefore, accurate even for datasets where existing approaches fail. Furthermore, it performs estimation by evaluating only one simple formula with minimal computational overhead. Extensive experiments confirm that the Power-method outperforms previous techniques in terms of accuracy and applicability to various optimization scenarios. Keywords databases . selectivity . estimation . range queries . nearest neighbor
Yufei Tao, Christos Faloutsos, Dimitris Papadias
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2006
Where GEOINFORMATICA
Authors Yufei Tao, Christos Faloutsos, Dimitris Papadias
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