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» On exploiting the power of time in data mining
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SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 7 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...
BMCBI
2006
155views more  BMCBI 2006»
13 years 7 months ago
AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
Guoqing Lu, The V. Nguyen, Yuannan Xia, Michael Fr...
ICCAD
2000
IEEE
188views Hardware» more  ICCAD 2000»
14 years 1 days ago
Bus Optimization for Low-Power Data Path Synthesis Based on Network Flow Method
— Sub-micron feature sizes have resulted in a considerable portion of power to be dissipated on the buses, causing an increased attention on savings for power at the behavioral l...
Sungpack Hong, Taewhan Kim
ICDE
2008
IEEE
214views Database» more  ICDE 2008»
14 years 9 months ago
Efficient Online Subsequence Searching in Data Streams under Dynamic Time Warping Distance
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
Mi Zhou, Man Hon Wong
DATE
2002
IEEE
154views Hardware» more  DATE 2002»
14 years 18 days ago
Low Power Error Resilient Encoding for On-Chip Data Buses
As technology scales toward deep submicron, on-chip interconnects are becoming more and more sensitive to noise sources such as power supply noise, crosstalk, radiation induced ef...
Davide Bertozzi, Luca Benini, Giovanni De Micheli