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» A New Approach of Eliminating Redundant Association Rules
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DEXA
2004
Springer
153views Database» more  DEXA 2004»
15 years 3 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
DATAMINE
2008
67views more  DATAMINE 2008»
14 years 10 months ago
Effective elimination of redundant association rules
James Cheng, Yiping Ke, Wilfred Ng
DSS
2006
129views more  DSS 2006»
14 years 10 months ago
A new approach to classification based on association rule mining
Classification is one of the key issues in the fields of decision sciences and knowledge discovery. This paper presents a new approach for constructing a classifier, based on an e...
Guoqing Chen, Hongyan Liu, Lan Yu, Qiang Wei, Xing...
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JCST
2008
119views more  JCST 2008»
14 years 10 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
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
15 years 1 months ago
Generating non-redundant association rules
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
Mohammed Javeed Zaki