The Design Of Food Safety Risk Early Warning System Based On Data Mining

China has achieved rapid economic development since its entry into the WTO in 2001.However,the frequent occurrence of food safety problems in recent years has seriously harmed people's health and gradually become a huge challenge for China.Therefore,it is an urgent task to build an efficient dynamic food risk early warning system which can discover potential food safety hazards timely,prevent major food safety accidents,and strengthen the regulation on food safety problems.According to these requirements,this paper presents a food safety early warning system for enterprise users and food safety supervision departments based on data mining technologies of association rules.Research in the following three aspects is conducted by this work.First,it analyzes the requirements of the system and designs its architecture and key functions in detail,including functions of data query,data statistics,food risk assessment and early warning.Second,it implements the functions of early warning for both inspected foods and projects based on data mining technologies of association rules.Third,it designs corresponding programs and interfaces and implements system functions by using spring MVC+spring Security3.x+Mybaits3.x as its technical framework and Eclipse 8.5 as its development tool.The design of the system fully meets usage requirements,which can fast judge food safety status and effectively trigger an early warning when any risks are detected.Based on data mining technologies of association rules,the system gives full consideration to the complexity of practical work in enterprises and supervision departments and is thus highly secure and reliable.