Improvements in data mining association rules algorithm

被引：0

作者：

Li, Dai ^{[1
]}

机构：

[1] Dept. of Computer Science, Yunyang Teachers' College, Shiyan, China

来源：

International Journal of Database Theory and Application | 2015年 / 8卷 / 02期

关键词：

Learning algorithms - Data mining;

D O I：

10.14257/ijdta.2015.8.2.01

中图分类号：

学科分类号：

摘要：

Because of the traditional Apriori algorithm in data mining in the process of operation for a long time, and produce a large number of unrelated item sets, caused great waste of data space, so this article puts forward an improved Apriori algorithm based on SQL, increase degree by calculation method, for pruning association rules and is independent of item sets. © 2015 SERSC.

引用

页码：1 / 10