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» Online summarization of dynamic time series data
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130
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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 2 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
INFOCOM
2011
IEEE
14 years 5 months ago
Dynamic right-sizing for power-proportional data centers
—Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of ...
Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, ...
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 2 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
119
Voted
DKE
2007
95views more  DKE 2007»
15 years 1 months ago
Warping the time on data streams
Continuously monitoring through time the correlation/distance of multiple data streams is of interest in a variety of applications, including financial analysis, video surveillanc...
Paolo Capitani, Paolo Ciaccia
FPL
2000
Springer
128views Hardware» more  FPL 2000»
15 years 5 months ago
Verification of Dynamically Reconfigurable Logic
This paper reports on a method for extending existing VHDL design and verification software available for the Xilinx Virtex series of FPGAs. It allows the designer to apply standa...
David Robinson, Patrick Lysaght