257 search results - page 26 / 52 » Mining Large Itemsets for Association Rules |
114
Voted
HIPC
2003
Springer
15 years 5 months ago
2003
Springer
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
116
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ICDM
2002
IEEE
15 years 5 months ago
2002
IEEE
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
119
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FPL
2008
Springer
15 years 2 months ago
2008
Springer
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
122
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ADMA
2008
Springer
15 years 7 months ago
2008
Springer
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
96
Voted
SDM
2003
SIAM
15 years 2 months ago
2003
SIAM
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...