| The power-method: a comprehensive estimation technique for multi-dimensional queries |
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Conference on Information and Knowledge Management
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Proceedings of the twelfth international conference on Information and knowledge management
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New Orleans, LA, USA
SESSION: Database session 2: querying high-dimensional data II
table of contents
Pages: 83 - 90
Year of Publication: 2003
ISBN:1-58113-723-0
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Downloads (6 Weeks): 4, Downloads (12 Months): 27, Citation Count: 4
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ABSTRACT
Existing estimation approaches for multi-dimensional 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 various metrics. The Power-method eliminates the local uniformity assumption and is accurate even in scenarios where existing approaches completely 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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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