148 search results - page 13 / 30 » Mining top-K frequent itemsets from data streams |
CORR
2008
Springer
13 years 8 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...
SDM
2003
SIAM
13 years 10 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, ...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
DKE
2008
13 years 8 months ago
2008
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...