Sciweavers

235 search results - page 1 / 47
» A New Approach of Eliminating Redundant Association Rules
Sort
View
DEXA
2004
Springer
153views Database» more  DEXA 2004»
13 years 10 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»
13 years 5 months ago
Effective elimination of redundant association rules
James Cheng, Yiping Ke, Wilfred Ng
DSS
2006
129views more  DSS 2006»
13 years 5 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...
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
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
13 years 8 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