492 search results - page 29 / 99 » Fast data stream algorithms using associative memories |
VLDB
2010
ACM
14 years 8 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
DCC
2004
IEEE
15 years 9 months ago
2004
IEEE
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
CLIMA
2004
14 years 11 months ago
2004
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
185
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ICDE
2007
IEEE
15 years 11 months ago
2007
IEEE
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...
64
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EGH
2009
Springer
14 years 7 months ago
2009
Springer
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...