518 search results - page 27 / 104 » Estimating Missing Data in Data Streams |
INFOCOM
2010
IEEE
13 years 8 months ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
PODS
2007
ACM
14 years 10 months ago
2007
ACM
IP packet streams consist of multiple interleaving IP flows. Statistical summaries of these streams, collected for different measurement periods, are used for characterization of ...
ICALP
2007
Springer
14 years 4 months ago
2007
Springer
We present lower bounds on the space required to estimate the quantiles of a stream of numerical values. Quantile estimation is perhaps the most studied problem in the data stream ...
IH
1998
Springer
14 years 2 months ago
1998
Springer
Theoretical modeling of watermarks allow prediction of the detector reliability and facilitates the development of more reliable systems. In particular, mathematical evaluation is ...
SDM
2004
SIAM
13 years 11 months ago
2004
SIAM
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...