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» A Robustness Measure of Association Rules
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IRI
2008
IEEE
15 years 3 months ago
A conflict-based confidence measure for associative classification
Associative classification has aroused significant attention recently and achieved promising results. In the rule ranking process, the confidence measure is usually used to sort t...
Peerapon Vateekul, Mei-Ling Shyu
80
Voted
SIGMOD
1996
ACM
110views Database» more  SIGMOD 1996»
15 years 1 months ago
Mining Quantitative Association Rules in Large Relational Tables
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Ramakrishnan Srikant, Rakesh Agrawal
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
DATAMINE
2006
131views more  DATAMINE 2006»
14 years 9 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
15 years 1 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein