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» Mining for Useful Association Rules Using the ATMS
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JIPS
2008
116views more  JIPS 2008»
13 years 7 months ago
An Empirical Study of Qualities of Association Rules from a Statistical View Point
: Minimum support and confidence have been used as criteria for generating association rules in all association rule mining algorithms. These criteria have their natural appeals, s...
Maryann Dorn, Wen-Chi Hou, Dunren Che, Zhewei Jian...
SAC
2010
ACM
13 years 2 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
AUSDM
2006
Springer
78views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Visualization of Attractive and Repulsive Zones Between Variables
This paper presents a preprocessing step in mining association rules which uses tables to summarize synthetically the way variables interact by highlighting any zones which are at...
Sylvie Guillaume, Leila Nemmiche Alachaher
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
13 years 5 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
13 years 11 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen