摘要
以高密市质量技术监督局为例,探讨了基于SQL Server的数据挖掘在质量管理系统中的应用,提出了3种数据挖掘的应用模型以及一个数据挖掘系统。模型1是挖掘不同属性间的关联度,模型2预测产品在特定时段的质量水平,模型3根据企业属性对企业产品质量水平进行分类。该研究对于提高质监部门的现代管理水平有一定的指导与参考意义。
The application of data mining in quality management system of departments of quality supervising and management（DQSM） is researched in Gao Mi City based on SQL Server.Three kinds of data mining models and a data mining system for measuring the quality level of products and affording information to quality management are provide.Model 1 mines the association level between different attributes,model 2 predicts the quality level of products in a given period,model 3 classifies enterprises by quality level of product according to their characteristics.This research is beneficial to the DQSM management level.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第10期2327-2329,2334,共4页
Computer Engineering and Design
基金
湖南省自然科学基金项目(06JJ20075)
关键词
数据挖掘
质量管理
粗糙集
属性
关联度
data mining
quality management
rough set
attribute
association level
