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IPPS
2006
IEEE
16 years 16 days ago
GPU-ABiSort: optimal parallel sorting on stream architectures
In this paper, we present a novel approach for parallel sorting on stream processing architectures. It is based on adaptive bitonic sorting. For sorting n values utilizing p strea...
Alexander Greß, Gabriel Zachmann
DEBS
2003
ACM
15 years 11 months ago
MJoin: a metadata-aware stream join operator
Join algorithms must be re-designed when processing stream data instead of persistently stored data. Data streams are potentially infinite and the query result is expected to be ...
Luping Ding, Elke A. Rundensteiner, George T. Hein...
DMKD
2003
ACM
148views Data Mining» more  DMKD 2003»
15 years 11 months ago
A symbolic representation of time series, with implications for streaming algorithms
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...
ASC
2008
15 years 6 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 7 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...