313 search results - page 28 / 63 » Mining Frequent Itemsets in a Stream |
CINQ
2004
Springer
15 years 3 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
86
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TIME
2008
IEEE
15 years 4 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
167
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ICDE
2000
IEEE
15 years 11 months ago
2000
IEEE
Despite the overwhelming amounts of multimedia data recently generated and the significance of such data, very few people have systematically investigated multimedia data mining. ...
105
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ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
107
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DIS
2009
Springer
15 years 4 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...