DM Data Mining Based on Improved Apriori Algorithm

被引：0
|
作者：
Wang, Yongping [1 ]
Jin, Yanfeng [1 ]
Li, Ying [1 ]
Geng, Keming [1 ]
机构：
[1] Shi Jiazhuang Post & Telecommun Tech Coll, Shijiazhuang 050021, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, ICICA 2013, PT II | 2013年 / 392卷
关键词：
data mining; association rules; apriori algorithms; support degree;
D O I：
暂无
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 rules are the key technology in data mining; it has a very broad applying foreground in many industries. An improved association rules algorithms based on Apriori was proposed in this paper. And it will be used in direct mail data mining. By analyzing the normative database of users' sets, we can get item set which satisfy the minimal support degree, and form the rule set. We can get more accurate DM data mining results than other methods by testing the post DM database. Experiments indicate the validity of the method.
引用
收藏
页码：354 / 363
页数：10
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