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» Association rules mining using heavy itemsets
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JIPS
2008
116views more  JIPS 2008»
13 years 10 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...
AUSDM
2006
Springer
78views Data Mining» more  AUSDM 2006»
14 years 1 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
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 10 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
13 years 7 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»
14 years 2 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