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» Maintaining Nonparametric Estimators over Data Streams
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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
15 years 11 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»
15 years 10 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...
93
Voted
SSDBM
2010
IEEE
181views Database» more  SSDBM 2010»
14 years 7 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»
14 years 7 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...
95
Voted
SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
15 years 3 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...