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» Mining Optimized Association Rules for Numeric Attributes
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ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 7 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
FLAIRS
2007
13 years 8 months ago
An Extended Neural Gas Model for Efficient Data Mining Tasks
This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behave...
Jean-Charles Lamirel, Shadi Al Shehabi
KAIS
2008
119views more  KAIS 2008»
13 years 5 months ago
An information-theoretic approach to quantitative association rule mining
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
Yiping Ke, James Cheng, Wilfred Ng
ADC
2003
Springer
118views Database» more  ADC 2003»
13 years 11 months ago
CrystalBall : A Framework for Mining Variants of Association Rules
The mining of informative rules calls for methods that include different attributes (e.g., weights, quantities, multipleconcepts) suitable for the context of the problem to be an...
Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim