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Optimal Histograms with Quality Guaranteesby: H. V. Jagadish, Nick Koudas, S. Muthukrishnan, Viswanath Poosala, Kenneth C. Sevcik, Torsten Suel
In Proc. 24th Int. Conf. Very Large Data Bases, VLDB (FebruaryApril--FebruaryJuly~ 1998), pp. 275-286.
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AbstractHistograms are commonly used to capture attribute value distribution statistics for query optimizers. More recently, histograms have also been considered as a way to produce quick approximate answers to decision support queries. This widespread interest in histograms motivates the problem of computing histograms that are good under a given error metric. In particular, we are interested in an efficient algorithm for choosing the bucket boundaries in a way that either minimizes the...
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