88 search results - page 1 / 18 » A new method for finding generalized frequent itemsets in ge... |
ISCC
2002
IEEE
13 years 11 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...
JCST
2008
13 years 6 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
14 years 8 days 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 ...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
ICDE
2003
IEEE
14 years 8 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...