257 search results - page 2 / 52 » Mining Large Itemsets for Association Rules |
AMT
2006
Springer
13 years 6 months ago
2006
Springer
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
APWEB
2005
Springer
13 years 10 months ago
2005
Springer
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
JCST
2008
13 years 4 months ago
2008
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
DEXA
2004
Springer
13 years 10 months ago
2004
Springer
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...