Association Rule Mining and its application in postal EMS service

被引：0

作者：

Feng, DY ^{[1
]}

Wei, LJ ^{[1
]}

De, SJ ^{[1
]}

Ying, SH ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China

来源：

2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年

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：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Several algorithms in data mining technique were studied recently, among which association was one of the most important ones. 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.

引用

页码：C157 / C161

页数：5