会议专题

Product Resource Classification on Relationship Data Mining

Nowadays the data used among the enterprises are all relative, so general method can not show the relationship. To help the factories effectively find the candidition scheme, a data mining method on relationship function is advanced. The method contains three steps, namely, extract the original production data both before and after transformation from the database, confirm the evaluation features and list the evaluation information, and confirm the relationship classification table of the products according to the comprehensive association degree and extract the relationship classification knowledge of the products. By the application in the Supply Chain Management system of the hardware manufacturing enterprises based on Application Service Provider platform, the approach has been thoroughly proved.

relationship data mining relationship classification knowledge hardware manufacture enterprise production decision-making

Fan Wu Jianwei Lin

Modern Education Technology Center ZheJiangShuRen University HangZhou, China

国际会议

2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)

昆明

英文

812-815

2010-10-17(万方平台首次上网日期,不代表论文的发表时间)