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» Efficient Mining of Generalized Negative Association Rules
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GRC
2010
IEEE
13 years 6 months ago
Efficient Mining of Generalized Negative Association Rules
Li-Min Tsai, Shu-Jing Lin, Don-Lin Yang
DAWAK
2006
Springer
13 years 8 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
13 years 9 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
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...
Kritsada Sriphaew, Thanaruk Theeramunkong
JCST
2008
119views more  JCST 2008»
13 years 4 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
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 ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman
ICCSA
2004
Springer
13 years 10 months ago
Exception Rules Mining Based on Negative Association Rules
Exception rules have been previously defined as rules with low interest and high confidence. In this paper a new approach to mine exception rules will be proposed and evaluated. In...
Olena Daly, David Taniar