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» Mining Quantitative Associations in Large Database
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ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 6 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
APIN
2006
168views more  APIN 2006»
13 years 5 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
VLDB
1995
ACM
195views Database» more  VLDB 1995»
13 years 8 months ago
Discovery of Multiple-Level Association Rules from Large Databases
Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more spe...
Jiawei Han, Yongjian Fu
ICDE
1998
IEEE
154views Database» more  ICDE 1998»
14 years 6 months ago
Mining for Strong Negative Associations in a Large Database of Customer Transactions
Ashok Savasere, Edward Omiecinski, Shamkant B. Nav...