作　　者： ; ; ;

机构地区： 华南农业大学

出　　处： 《安徽农业科学》 2009年第32期16190-16192,共3页

摘　　要： 数据挖掘技术可以在大量的农产品质量安全监管数据中提取有效的信息为政府监管决策服务。笔者以蔬菜批发市场为实例,在分析农产品质量安全监管数据特点的基础上,进行了可视化技术与关联规则的数据挖掘分析。结果表明:数据挖掘技术在农产品质量安全监管中的应用是可行的。 Data mining technique can extract some useful information from a large number of agricultural products quality and safety data for the governmental supervision and making decision. Taking the vegetable wholesale market for an example, based on analyzing the characteristics of agricultural products＇ quality and safety monitoring data, the data mining analysis was carried on the and association rules. The results showed that the data mining technology used in the quality and safety monitoring of agricultural products was feasible.

关 键 词： 数据挖掘技术 农产品质量安全监管 数据可视化技术 关联规则

领　　域： [农业科学]