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Efficient algorithms for stream mining of constrained frequent patterns in a limited memory environment
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Authors:
Carson Kai-Sang Leung
The University of Manitoba, Winnipeg, MB, Canada
Dale A. Brajczuk
The University of Manitoba, Winnipeg, MB, Canada
Jialiang Yu
The University of Manitoba, Winnipeg, MB, Canada
Published in:
· Proceeding
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Pages 189-198
ACM
New York, NY
, USA
©2008
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ISBN: 978-1-60558-188-0
doi>
10.1145/1451940.1451967
2008 Article
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Tags:
algorithms
constraints
data mining
data mining
data streams
design
experimentation
frequent itemsets
human factors
limited memory space
management
performance
theory
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