313 search results - page 44 / 63 » Mining Frequent Itemsets in a Stream |
CORR
2008
Springer
13 years 6 months ago
2008
Springer
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
DAWAK
2006
Springer
13 years 8 months ago
2006
Springer
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
PAKDD
2005
ACM
14 years 7 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...
VLDB
2010
ACM
13 years 5 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...