582 search results - page 16 / 117 » Info-fuzzy algorithms for mining dynamic data streams |
272
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SDM
2012
SIAM
13 years 6 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 ...
132
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
138
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
127
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CCCG
2008
15 years 5 months ago
2008
We define a class of algorithms for constructing coresets of (geometric) data sets, and show that algorithms in this class can be dynamized efficiently in the insertiononly (data ...
254
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ICDE
2003
IEEE
16 years 5 months ago
2003
IEEE
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...