19 search results - page 1 / 4 » FIT: A Fast Algorithm for Discovering Frequent Itemsets in L... |
KES
2004
Springer
13 years 9 months 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 ...
APWEB
2005
Springer
13 years 10 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...
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
KDD
2001
ACM
14 years 4 months ago
2001
ACM
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
APPINF
2003
13 years 5 months ago
2003
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...