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» On the Complexity of Mining Association Rules
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85
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
15 years 10 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
DASFAA
2010
IEEE
232views Database» more  DASFAA 2010»
15 years 2 months ago
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies
Rare association rule is an association rule consisting of rare items. It is difficult to mine rare association rules with a single minimum support (minsup) constraint because low ...
R. Uday Kiran, P. Krishna Reddy
78
Voted
TKDE
2008
139views more  TKDE 2008»
14 years 9 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb