Analysis and Research of Food Safety Risk Assessment Based on Data Mining

被引:0
作者
Li, LiJuan [1 ]
Shen, YuanYing [1 ]
Yuan, Zhiqiong [1 ]
Li, Jie [2 ]
机构
[1] Dali Univ, Sch Publ Hlth, Dali 671000, Peoples R China
[2] Dali Univ, Sch Math & Comp Sci, Dali 671003, Peoples R China
来源
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON BIG DATA ENGINEERING AND TECHNOLOGY (BDET 2018) | 2018年
关键词
Data Mining; Food Safety; Risk Assessment;
D O I
10.1145/3297730.3297748
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the improvement of living standards, people are increasingly demanding food, food safety problems emerge in an endless stream of emerge in an endless stream of food safety, attracted attention, there was an urgent need to establish a risk assessment system of food safety supervision, the scientific and reasonable decision of export food provides effective theoretical support. This paper proposes a mining food risk assessment and early warning method based on the data, establish scientific risk evaluation system, the risk assessment results, and the evaluation result is multilayer multidimensional association rule mining, early warning information of food inspection project, provide a powerful guarantee for food safety.
引用
收藏
页码:68 / 72
页数:5
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