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» Mining the optimal class association rule set
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CIKM
2001
Springer
14 years 1 months ago
Ordinal Association Rules for Error Identification in Data Sets
A new extension of the Boolean association rules, ordinal association rules, that incorporates ordinal relationships among data items, is introduced. One use for ordinal rules is ...
Andrian Marcus, Jonathan I. Maletic, King-Ip Lin
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
14 years 1 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
IDEAL
2003
Springer
14 years 2 months ago
Association Rule Mining Algorithms for Set-Valued Data
This paper presents an association rule mining system that is capable of handling set-valued attributes. Our previous research has exposed us to a variety of real-world biological ...
Christopher A. Shoemaker, Carolina Ruiz
ICCSA
2004
Springer
14 years 2 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
SAC
2010
ACM
13 years 3 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane