High Efficiency Association Rules Mining Algorithm for Bank Cost Analysis

被引：1
|
作者：
Mei, Ying [1 ]
Zhu, Liangsheng [1 ]
机构：
[1] S China Univ Technol, Guangzhou 510641, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY | 2008年
关键词：
D O I：
10.1109/ISECS.2008.47
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper introduces improving rate and proposes the incremental mining algorithm for optimizing association rules based on CBA mining algorithm. Comparing with the traditional algorithm, the improved algorithm is fast, efficient in incremental data mining and can find trends in association rules. The decision making reliability is enhanced by the association rules obtained from the improved algorithm. The algorithm was used to bank cost analysis with test results showing that the prediction precision of the algorithm is better than that of the traditional algorithm.
引用
收藏
页码：57 / 60
页数：4
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