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» Maintaining Nonparametric Estimators over Data Streams
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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 9 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
ICDE
2005
IEEE
106views Database» more  ICDE 2005»
14 years 8 months ago
Effective Computation of Biased Quantiles over Data Streams
Skewis prevalentin manydata sourcessuchas IP traffic streams. To continually summarize the distribution of such data, a highbiased set of quantiles (e.g., 50th, 90th and 99th perc...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
SSDBM
2010
IEEE
181views Database» more  SSDBM 2010»
13 years 5 months ago
Stratified Reservoir Sampling over Heterogeneous Data Streams
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
Mohammed Al-Kateb, Byung Suk Lee
TKDE
2010
152views more  TKDE 2010»
13 years 5 months ago
Maintaining Recursive Views of Regions and Connectivity in Networks
— The data management community has recently begun to consider declarative network routing and distributed acquisition: e.g., sensor networks that execute queries about contiguou...
Mengmeng Liu, Nicholas E. Taylor, Wenchao Zhou, Za...
SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
14 years 1 months ago
Adaptive-Size Reservoir Sampling over Data Streams
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...