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[1]
Research on the algorithm aprioriop mining association rule. LU Li-na, CHEN Ya-ping, WEI Heng-yi, et al. Micro Computer System . 2000
Association Rule Mining and Its Application
被引：0
作者：
DUAN Yun feng LI Jian wei SONG Jun de SHU Hua ying Beijng University of Posts and Telecommunications Beijing PR China
[100876
]
机构：
关键词：
association rule mining;
data mining;
data warehouse;
data mart;
fact table;
frequency item set;
EMS;
post;
D O I：
暂无
中图分类号：
TP311.13 [];
学科分类号：
1201 ;
摘要：
Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.
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页码：13 / 17
页数：5
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