87 search results - page 1 / 18 » Mining Frequent Generalized Itemsets and Generalized Associa... |
JCST
2008
13 years 5 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 ...
ISCC
2002
IEEE
13 years 10 months ago
2002
IEEE
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
ICDE
2003
IEEE
14 years 6 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
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 ...
ICEIS
2009
IEEE
13 years 11 months ago
2009
IEEE
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...