| Wu, Y.L, D. Agrawal, and A.E. Abbadi, Query Estimation by Adaptive Sampling. Proc. ICDE, 2002, 639-648. |
....is crucial for effective query optimization, and has received considerable research attention. Existing approaches can be classified into two categories depending on whether they take into account only the data distribution [HS92, IP95, GM98, APR99, WAA01] or also consider the query patterns [CR94, GLR00, BCG01, WAA02]. Although our framework can be used with any histogram, for the shake of simplicity and generality, we adopt the equi length method (in fact more sophisticated histograms lead to even better performance) Specifically, the data space is divided into nurnbi bins with equal extents, and ....
Wu, Y., Agrawal, D., E1 Abbadi, A. Query Estimation by Adaptive Sampling. 1EEE 1CDE, 2002.
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Wu, Y.L, D. Agrawal, and A.E. Abbadi, Query Estimation by Adaptive Sampling. Proc. ICDE, 2002, 639-648.
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