171 search results - page 7 / 35 » Statistical Supports for Frequent Itemsets on Data Streams |
KDD
2004
ACM
16 years 1 days ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
105
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RCIS
2010
14 years 10 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
115
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KAIS
2006
14 years 11 months ago
2006
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
105
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KDD
2006
ACM
16 years 1 days ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...