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» Data streams: algorithms and applications
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216
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PODS
2008
ACM
109views Database» more  PODS 2008»
16 years 7 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
217
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IDA
2007
Springer
15 years 7 months ago
Approximate mining of frequent patterns on streams
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
Claudio Silvestri, Salvatore Orlando
197
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APWEB
2005
Springer
16 years 18 days ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
202
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ICIP
2009
IEEE
15 years 4 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
179
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ICDE
2007
IEEE
99views Database» more  ICDE 2007»
16 years 1 months ago
A QoS-based Service Composition for Content Adaptation
Today’s Internet suffers from the problem of heterogeneity in client devices, network connectivity, content format, and users’ preferences. The framework presented in this pap...
Khalil El-Khatib, Gregor von Bochmann, Abdulmotale...