68 search results - page 3 / 14 » Mining the Future: Predicting Itemsets' Support of Associati... |
PAKDD
2007
ACM
13 years 11 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. ...
FLAIRS
2003
13 years 6 months ago
2003
Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent itemsets or suffers from the bot...
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 ...
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...
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 ...