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» Fast data stream algorithms using associative memories
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SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
12 years 8 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
12 years 8 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
12 years 12 days ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
NAACL
2010
11 years 6 months ago
Stream-based Translation Models for Statistical Machine Translation
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...
EDBT
2011
ACM
281views Database» more  EDBT 2011»
10 years 11 months ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo
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