基于决策树的农产品供应商竞标能力的数据挖掘分析

应用基于决策树的数据挖掘算法对农产品电子商务B2B系统中的历史竞标样本进行了分类，通过给出一个结合实例的算法实现过程，说明了供应商在竞标过程中产品报价等部分影响因素间的一些潜在性规则，从而得出不同特征的农产品供应商在虚拟市场中的竞标能力高低差异依次由产品报价、配送及时率、市场需求水平等因素决定。

Data Mining Analysis of Bidding Ability of Agricultural Products' Suppliers based upon Decision Tree

B2B is a major solution in the agricultural products electronic commerce at present, and in which the suppliers’ ability for bidding is very important to cope with the e-commerce-based agricultural products purchase through bidding. This paper proposes using data mining based on the algorithms for decision tree to classify the factors that influence the suppliers’ ability for bidding. We examine a cooperative website’s data warehouse, showing the process of applying data mining techniques, and some of the data issues, analysis problems, and results. The result mined by the algorithms for decision tree shows: the decreasing sequence of the influencing factors to the suppliers’ ability for bidding is: quoted price, time delivery performance, level of demand.