摘要
数据挖掘是在海量原始数据中发现人们感兴趣的模式的过程,涉及了众多计算机技术。运用数据挖掘技术从工厂企业建立的数据仓库中发现隐藏的知识,对供应商选择和评估。首先要确定评估的指标及其权重。然后是结合制造业流程,利用数据挖掘方法将流程中的数据转化为供应商评估因子,并发现隐含的有用模式,做出预测和潜在供应商的发现,使供应商的选择更加科学合理高效。
Data mining is a process to discover the patterns in which people are interested in quantities of raw data. It combines several of computer techniques. Using DM to evaluate suppliers is introduced. At first, the weight of each criterion is determined. Then data collected in production procedure are transformed into evaluation factors. They can also be used in finding latent useful patterns and sup- plier and forecasting to make supplier selection more reasonable and efficient.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第19期3729-3730,F0003,共3页
Computer Engineering and Design
关键词
数据挖掘
数据仓库
供应商评估
分类
聚类
data mining
data warehouse
supplier evaluation
categorization
clustering
