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ADC
2007
Springer
145views Database» more  ADC 2007»
13 years 10 months ago
Selectivity Estimation by Batch-Query based Histogram and Parametric Method
Histograms are used extensively for selectivity estimation and approximate query processing. Workloadaware dynamic histograms can self-tune itself based on query feedback without ...
Jizhou Luo, Xiaofang Zhou, Yu Zhang, Heng Tao Shen...
VLDB
1999
ACM
140views Database» more  VLDB 1999»
13 years 8 months ago
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-size Estimation
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leveraging the dynamic feedback obtained from observations on the executed query wo...
Arnd Christian König, Gerhard Weikum
JSS
2008
97views more  JSS 2008»
13 years 4 months ago
Proactive and reactive multi-dimensional histogram maintenance for selectivity estimation
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...
Zhen He, Byung Suk Lee, Xiaoyang Sean Wang
SAC
2005
ACM
13 years 10 months ago
An information theoretic histogram for single dimensional selectivity estimation
: We study the problem of one dimensional selectivity estimation in relational databases. We introduce a new type of histogram based on information theory. We compare our histogram...
Chris Giannella, Bassem Sayrafi
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
13 years 10 months ago
Multi-dimensional Histograms with Tight Bounds for the Error
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...