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219
Voted
ICDE
2009
IEEE
16 years 2 months ago
2009
IEEE
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
230
Voted
SDM
2012
SIAM
13 years 3 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
124
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SSDBM
2010
IEEE
14 years 10 months ago
2010
IEEE
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...
109
Voted
ESWS
2008
Springer
15 years 2 months ago
2008
Springer
A lot of work has been done in the area of data stream processing. Most of the previous approaches regard only relational or XML based streams but do not cover semantically richer ...
92
Voted
SSDBM
2007
IEEE
15 years 7 months ago
2007
IEEE
In stream join processing with limited memory, uniform random sampling is useful for approximate query evaluation. In this paper, we address the problem of reservoir sampling over...