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» On Random Sampling over Joins
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SSDBM
2007
IEEE
104views Database» more  SSDBM 2007»
13 years 11 months ago
Reservoir Sampling over Memory-Limited Stream Joins
In stream join processing with limited memory, uniform random sampling is useful for approximate query evaluation. In this paper, we address the problem of reservoir sampling over...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...
SIGMOD
1999
ACM
87views Database» more  SIGMOD 1999»
13 years 9 months ago
On Random Sampling over Joins
A major bottleneck in implementing sampling as a primitive relational operation is the ine ciency ofsampling the output of a query. It is not even known whether it is possible to ...
Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasa...
PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 5 months ago
Histograms revisited: when are histograms the best approximation method for aggregates over joins?
The traditional statistical assumption for interpreting histograms and justifying approximate query processing methods based on them is that all elements in a bucket have the same...
Alin Dobra
SSDBM
2008
IEEE
131views Database» more  SSDBM 2008»
13 years 11 months ago
Linked Bernoulli Synopses: Sampling along Foreign Keys
Random sampling is a popular technique for providing fast approximate query answers, especially in data warehouse environments. Compared to other types of synopses, random sampling...
Rainer Gemulla, Philipp Rösch, Wolfgang Lehne...
VLDB
2004
ACM
134views Database» more  VLDB 2004»
13 years 10 months ago
Memory-Limited Execution of Windowed Stream Joins
We address the problem of computing approximate answers to continuous sliding-window joins over data streams when the available memory may be insufficient to keep the entire join...
Utkarsh Srivastava, Jennifer Widom