摘要
食品安全监管数据量大、隐含的信息以及数据之间的规律不易被发觉。本文研究了Excel数据挖掘模块的关联规则对食品检测数据进行挖掘的方法,研究结果表明,关联模型得出的规则对食品安全监管有一定的指导意义。
Food safety supervision data are large,it’s include many implicit information and the law between the data is not easy to be detected.This paper studied the association rules of Excel data mining module mining method for food detection data.The research results showed that the rules derived from association model have certain guiding significance for food safety supervision.
作者
汪海萍
胡小崧
何苏
凌睿
司玮
Wang Haiping;Hu Xiaosong;He Su;Ling Rui;Si Wei(Nanjing Institute for Food and Drug Control, Nanjing 210019, China)
出处
《现代食品》
2017年第24期35-38,共4页
Modern Food
关键词
食品安全
数据挖掘
关联规则
Food safety
Data mining
Association rules