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» Mining high-speed data streams
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KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 2 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
94
Voted
KDD
2009
ACM
151views Data Mining» more  KDD 2009»
15 years 6 months ago
Toward autonomic grids: analyzing the job flow with affinity streaming
Xiangliang Zhang, Cyril Furtlehner, Julien Perez, ...
190
Voted
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
16 years 2 months ago
Cayuga: a high-performance event processing engine
We propose a demonstration of Cayuga, a complex event monitoring system for high speed data streams. Our demonstration will show Cayuga applied to monitoring Web feeds; the demo w...
Lars Brenna, Alan J. Demers, Johannes Gehrke, Ming...
CIKM
2006
Springer
15 years 5 months ago
Classification spanning correlated data streams
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian ...
123
Voted
EDBT
2006
ACM
150views Database» more  EDBT 2006»
16 years 2 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal