Research and application in supply chain management based on correlation analyze of association rules algorithm

被引：1

作者：

Qu, Shouning ^{[1
]}

Wang, Qin

Liu, Kui ^{[1
]}

Xu, Dejun

机构：

[1] Jinan Univ, Sch Mech Engn, Jinan 250022, Peoples R China

来源：

ADVANCES IN MATERIALS MANUFACTURING SCIENCE AND TECHNOLOGY II | 2006年 / 532-533卷

关键词：

SCM; data mining; association rules; apriori algorithm;

D O I：

10.4028/www.scientific.net/MSF.532-533.1024

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, the association rule algorithm and its defects were analyzed. An improved algorithm was put forward for applying it to analysis the association of products fittings in SCM. The application of improved algorithm can mine which kinds of fittings or sets of items being matched to get a salable product or gain the higher profit. So it can not only instruct customer's consumption but also can help the entrepreneur make a detailed and efficient internal plan.

引用

页码：1024 / +

页数：2