58 search results - page 10 / 12 » A survey on algorithms for mining frequent itemsets over dat... |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
CIKM
2009
Springer
14 years 2 days ago
2009
Springer
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
PAKDD
2005
ACM
14 years 28 days ago
2005
ACM
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...