680 search results - page 6 / 136 » Mining Frequent Itemsets Using Genetic Algorithm |
FIMI
2003
13 years 11 months ago
2003
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
PAKDD
2007
ACM
14 years 3 months ago
2007
ACM
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
KDD
2010
ACM
14 years 1 months ago
2010
ACM
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
DMIN
2006
13 years 11 months ago
2006
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...