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» Differencing Data Streams
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136
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DEXA
2009
Springer
88views Database» more  DEXA 2009»
15 years 6 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
JCP
2008
103views more  JCP 2008»
15 years 2 months ago
Weighted Clustering and Evolutionary Analysis of Hybrid Attributes Data Streams
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
Xinquan Chen
115
Voted
VLDB
2004
ACM
108views Database» more  VLDB 2004»
15 years 8 months ago
QStream: Deterministic Querying of Data Streams
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Sven Schmidt, Henrike Berthold, Wolfgang Lehner
104
Voted
CCS
2007
ACM
15 years 9 months ago
Compact FPGA implementations of QUAD
QUAD is a stream cipher whose provable security relies on the hardness of solving systems of multivariate quadratic equations. This paper explores FPGA implementations of the stre...
David Arditti, Côme Berbain, Olivier Billet,...
127
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ICDE
2009
IEEE
174views Database» more  ICDE 2009»
15 years 9 months ago
Sketching Sampled Data Streams
—Sampling is used as a universal method to reduce the running time of computations – the computation is performed on a much smaller sample and then the result is scaled to comp...
Florin Rusu, Alin Dobra