288 search results - page 4 / 58 » Estimating the number of frequent itemsets in a large databa... |
120
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KAIS
2006
15 years 6 days 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...
KAIS
2008
15 years 7 days ago
2008
A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...
VLDB
2004
ACM
15 years 5 months ago
2004
ACM
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
104
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KDD
2006
ACM
16 years 20 days ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
KDD
2004
ACM
16 years 20 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...