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» Query workload-aware overlay construction using histograms
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SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
13 years 9 months ago
Self-tuning Histograms: Building Histograms Without Looking at Data
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
Ashraf Aboulnaga, Surajit Chaudhuri
PODS
2002
ACM
138views Database» more  PODS 2002»
14 years 5 months ago
Fast Algorithms For Hierarchical Range Histogram Construction
Data Warehousing and OLAPapplications typically view data as having multiple logical dimensions e.g., product, location with natural hierarchies de ned on each dimension. OLAP que...
Sudipto Guha, Nick Koudas, Divesh Srivastava
SIGMOD
1996
ACM
109views Database» more  SIGMOD 1996»
13 years 9 months ago
Improved Histograms for Selectivity Estimation of Range Predicates
Many commercial database systems maintain histograms to summarize the contents of relations and permit efficient estimation of query result sizes and access plan costs. Although s...
Viswanath Poosala, Yannis E. Ioannidis, Peter J. H...
VLDB
2004
ACM
158views Database» more  VLDB 2004»
13 years 10 months ago
REHIST: Relative Error Histogram Construction Algorithms
Histograms and Wavelet synopses provide useful tools in query optimization and approximate query answering. Traditional histogram construction algorithms, such as V-Optimal, optim...
Sudipto Guha, Kyuseok Shim, Jungchul Woo
SIGMOD
2010
ACM
208views Database» more  SIGMOD 2010»
13 years 5 months ago
Hierarchically organized skew-tolerant histograms for geographic data objects
Histograms have been widely used for fast estimation of query result sizes in query optimization. In this paper, we propose a new histogram method, called the Skew-Tolerant Histog...
Yohan J. Roh, Jae Ho Kim, Yon Dohn Chung, Jin Hyun...