Title :
Mining Efficacious Association Rules Under Length-Decreasing Support Constraint
Author :
Yan, Lingwei ; Yi, Weiguo
Author_Institution :
Dept. of Phys., Dalian Jiaotong Univ., Dalian, China
Abstract :
In mining association rules, Item sets with high-length usually has lower support, but still have potential value. To mine efficacious association rules under long-pattern, a new mining method of efficacious association rules is proposed under length-decreasing support constraint. Compare to other mining methods of association rules, the new method can mine more efficacious long-patterns and improve correlation between the antecedent and the consequent of the rules.
Keywords :
data mining; correlation analysis; data mining; efficiency analysis; length-decreasing support constraint; mining efficacious association rules; Algorithm design and analysis; Association rules; Computers; Correlation; Itemsets; association rules; correlation; length-decreasing support; match;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.269