(Enter summary)
Abstract: In this paper, we propose a novel approach for estimating the record selectivities of
database queries. The real attribute value distribution is adaptively approximated by a
curve-fitting function using a query feedback mechanism. This approach has the advantages
of requiring no extra database access overhead for gathering statistics and of being able
to continuously adapt the value distribution through queries and updates. Experimental
results show that the estimation accuracy of this approach ... (Update)
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BibTeX entry: (Update)
C.M. Chen and N. Roussopoulos. Adaptive Selectivity Estimation Using Query Feedback. In Proceedings of the ACM-SIGMOD International Conference on Management of Data, Minneapolis, Minnesota, May 1994. http://citeseer.ist.psu.edu/chen93adaptive.html More
@inproceedings{ chen94adaptive,
author = "Chungmin Melvin Chen and Nick Roussopoulos",
title = "Adaptive selectivity estimation using query feedback",
pages = "161--172",
year = "1994",
url = "citeseer.ist.psu.edu/chen93adaptive.html" }
Citations (may not include all citations):
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A practical guide to splines (context) - de Boor - 1978
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Practical selectivity estimation through adaptive sampling
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An instant and accurate size estimation method for joins and.. (context) - Sun, Ling et al. - 1993
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Estimating record selectivities (context) - Christodoulakis - 1983
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Selectivity estimation and query optimization in large datab.. (context) - Lynch - 1988
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Equi-depth histograms for estimating selectivity factors for.. (context) - Muralikrishma, DeWitt - 1988
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Estimating block transfers and join sizes (context) - Christodoulakis - 1983
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Optimal sample cost residues for differential database batch.. (context) - Willard - 1991
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Database evaluation using multiple regression techniques (context) - Fedorowicz - 1984
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