The Optimization of Association Rule Algorithm in Data Mining

被引：1
|
作者：
Fan, Yang [1 ]
机构：
[1] Hainan Coll Software Technol, Qionghai City, Hainan, Peoples R China
来源：
ADVANCED DEVELOPMENT IN AUTOMATION, MATERIALS AND MANUFACTURING | 2014年 / 624卷
关键词：
Data mining; Association rules; Optimization;
D O I：
10.4028/www.scientific.net/AMM.624.549
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Association rule algorithm is an important issue in data mining, and in recent years, it has been extensively studied by the industry. Association rules reflect the interdependence and correlation of a transaction with other things. According to the author's many years of experience, this paper proposes a new algorithm based on binary tree BT_CM gradually merge new accumulation principle. The application shows that the improved algorithm has the characteristics of simple, accurate test to improve the efficiency and accuracy of data mining requirements.
引用
收藏
页码：549 / 552
页数：4
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