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» REHIST: Relative Error Histogram Construction Algorithms
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VLDB
2004
ACM
158views Database» more  VLDB 2004»
14 years 9 days 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
AAAI
2010
13 years 8 months ago
Local Search in Histogram Construction
The problem of dividing a sequence of values into segments occurs in database systems, information retrieval, and knowledge management. The challenge is to select a finite number ...
Felix Halim, Panagiotis Karras, Roland H. C. Yap
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
14 years 7 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
SIGMOD
2011
ACM
283views Database» more  SIGMOD 2011»
12 years 9 months ago
iReduct: differential privacy with reduced relative errors
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johanne...
CIKM
2009
Springer
14 years 1 months ago
Fast and effective histogram construction
Histogram construction or sequence segmentation is a basic task with applications in database systems, information retrieval, and knowledge management. Its aim is to approximate a...
Felix Halim, Panagiotis Karras, Roland H. C. Yap