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Food Safety Management Research Based on Big Data Mining

Xiaoyan Yang and Hongyou He
COFCO Nutrition and Health Research Institute co., LTD. Beijing Key Laboratory of Nutrition, Health and Food Safety; Beijing Engineering Laboratory of Nutritional Food for the Aged; Beijing Municipal Engineering Technology Research Center for Quality and Safety of Livestock Products, Beijing, China
Abstract—Food is the most important thing for people. Food safety concerns thousands of families. Due to various types of food and different censoring standards, the whole food safety management system has miscellaneous food information, which is not convenient for food safety management. At any time, food safety problems may cause public panic and affect the stability of domestic food safety. And big data mining with its characteristics of diversity, hierarchy, relevance, can promote the deficiency of food safety management, the basic information of the various types of food to effectively improve the reliability of the food quality, systematic management and analysis of the security situation of monitoring and associated products, actively respond to a potential food safety issues, as the national food security escort.
Index Terms—big data mining, food safety management,research

Cite: Xiaoyan Yang and Hongyou He, "Food Safety Management Research Based on Big Data Mining," International Journal of Food Engineering, Vol. 6, No. 2, pp. 63-66, December 2020. doi: 10.18178/ijfe.6.2.63-66

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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