摘要
数据挖掘可以从海量数据中提取有用的知识。本文针对来自零售业逆向物流系统的数据数量大且更新速度快的特点,运用统计分析方法,研究数据挖掘在这一领域的具体应用,为零售企业提供了一种在产品质量上对供应商进行评估的方法。
By data mining,we may acquire some useful knowledge from iarge amounts of data.There is plenty
of data in the reverse logistics system of retail industry,and it updates frequently.Based on the two characteristics.the authors make a research on the concrete application of data mining
in this field with the method of statistics,and further provide a method of supplier evaluation about the quality of goods for retail enterprises.
出处
《物流科技》
2007年第9期110-112,共3页
Logistics Sci-Tech
关键词
数据挖掘
逆向物流
供应商评估
data minings
reverse logistics
supplier evaluation
