节点文献
基于数据挖掘的违约供应商特征识别方法
A Character Identification Method for Supplier Breached Agreement Based on Data Mining
【摘要】 评价与选择供应商是供应链管理的一个重要问题。基于传统评价方法的不足,提出一种基于数据挖掘的违约供应商特征识别方法,识别出的共性特征将作为选择供应商的参考依据。特征描述式数据挖掘方法有以下几步:数据准备、相关分析、归纳特征属性、表示结果、理解和使用挖掘结果。
【Abstract】 The evaluation and selection of supplier is always an important issue in supply chain management. This paper points out the pitfalls of traditional methods, and puts forward a character identification method of supplier breached agreement based on statistic data mining. The characters identified would be the reference standard for supplier selection. Characterized descriptive data mining method has several phases as follows: dada preparation, correlation analysis, attribute induction, result presentation, comprehension and using results.
【基金】 教育部博士点基金《基于数据挖掘的供应链风险管理研究》,项目编号:2002024801。
- 【文献出处】 商业研究 ,Commercial Research , 编辑部邮箱 ,2004年21期
- 【分类号】F274
- 【被引频次】2
- 【下载频次】306