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» Optimization by Stochastic Continuation
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STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 6 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
VLDB
2005
ACM
146views Database» more  VLDB 2005»
16 years 6 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
VLDB
2007
ACM
130views Database» more  VLDB 2007»
16 years 6 months ago
A Simple and Efficient Estimation Method for Stream Expression Cardinalities
Estimating the cardinality (i.e. number of distinct elements) of an arbitrary set expression defined over multiple distributed streams is one of the most fundamental queries of in...
Aiyou Chen, Jin Cao, Tian Bu
243
Voted
VLDB
2007
ACM
169views Database» more  VLDB 2007»
16 years 6 months ago
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...
Nesime Tatbul, Stanley B. Zdonik, Ugur Çeti...
ICFP
2002
ACM
16 years 5 months ago
Monads for incremental computing
This paper presents a monadic approach to incremental computation, suitable for purely functional languages such as Haskell. A program that uses incremental computation is able to...
Magnus Carlsson