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» REHIST: Relative Error Histogram Construction Algorithms
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VLDB
2004
ACM
158views Database» more  VLDB 2004»
13 years 9 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
AAAI
2010
13 years 5 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 4 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 7 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
13 years 11 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