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» Approximate Join Processing Over Data Streams
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PVLDB
2008
182views more  PVLDB 2008»
13 years 8 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
ICASSP
2010
IEEE
13 years 9 months ago
An auction-based framework for multimedia streaming over cognitive radio networks
Recently, many works have been proposed in the area of cognitive radio to efficiently utilize the spectrum for data communication. However, little effort has been made in content...
Yan Chen, Yongle Wu, Beibei Wang, K. J. Ray Liu
EDBT
2006
ACM
190views Database» more  EDBT 2006»
14 years 8 months ago
Fast Approximate Wavelet Tracking on Streams
Recent years have seen growing interest in effective algorithms for summarizing and querying massive, high-speed data streams. Randomized sketch synopses provide accurate approxima...
Graham Cormode, Minos N. Garofalakis, Dimitris Sac...
SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
12 years 11 months ago
ProApproX: a lightweight approximation query processor over probabilistic trees
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Pierre Senellart, Asma Souihli
INFOCOM
2010
IEEE
13 years 7 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu