An innovative algorithm for mining multilevel association rules

被引：0
|
作者：
Sankar, H. Ravi [1 ]
Naidu, M. M. [1 ]
机构：
[1] Cent Tobacco Res Inst, Rajahmundry, India
来源：
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications | 2007年
关键词：
data mining; association rules; multilevel association rules; database; algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a new algorithm for mining multilevel association rules which searches for interesting relationship among items in a given data set at multiple levels in an effective way. This algorithm group the items at data warehousing level for each branch of the decision tree and find the association between them which is effective on a large set of data items. It generates a smaller set of rules, with higher quality and lower redundancy in comparison with general approach of multilevel association rules.
引用
收藏
页码：307 / 310
页数：4
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