259 search results - page 24 / 52 » Mining frequent itemsets in time-varying data streams |
ISCIS
2004
Springer
15 years 3 months ago
2004
Springer
One of the classic data mining problems is discovery of frequent itemsets. This problem particularly attracts database community as it resembles traditional database querying. In t...
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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....
CIDM
2007
IEEE
14 years 9 months ago
2007
IEEE
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
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...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...