582 search results - page 21 / 117 » Info-fuzzy algorithms for mining dynamic data streams |
135
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INFOCOM
2010
IEEE
15 years 2 months ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
147
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
158
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ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
142
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PKDD
2004
Springer
15 years 9 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
264
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ICDE
2008
IEEE
16 years 5 months ago
2008
IEEE
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...