165 search results - page 3 / 33 » Discovering Frequent Closed Itemsets for Association Rules |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
APWEB
2005
Springer
14 years 1 months ago
2005
Springer
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—In this paper we have proposed an improved approach to extract rare association rules. Rare association rules are the association rules containing rare items. Rare items...
33
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IDA
2002
Springer
13 years 7 months ago
2002
Springer
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
KES
2004
Springer
14 years 29 days ago
2004
Springer
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...