Construction of Food Safety Inspection Subject Database Based on Improved Association Rule Mining Algorithm
Authors: 
Chengmei Zhang, Miao Hao, Bing Yang, Bin SuAuthors Info & Claims
Pages 38 - 43
Abstract
The frequent occurrence of food safety problems has seriously endangered people's health. Food safety has gradually become a major problem in China, and it has become a very urgent task to dig out the potential information of food safety and conduct corresponding analysis and judgment based on the mined information, so as to provide the basis for food safety testing by the regulatory authorities, prevent major food safety problems and strengthen food safety supervision. In this paper, we analyze the characteristics of current food safety data, improve the Apriori association rule algorithm by using Hash technology, and then realize the effective mining of food safety information data, and on this basis, we develop a food safety inspection subject database for enterprises and regulatory authorities. The experimental results show that the improved association rule algorithm-based food safety detection subject database can effectively identify key factors affecting food safety, and the computing efficiency is faster, thus providing an important reference for regulatory authorities to complete food safety testing, which is important for food safety supervision.
References
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D. Lin, C. Juan and C. Chang. Managing Food Safety With Pricing, Contracts and Coordination in Supply Chains. IEEE Access, IEEE, 7 (July 19), 150892-150909.
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H. Fan. 2019. Theoretical Basis and System Establishment of China Food Safety Intelligent Supervision in the Perspective of Internet of Things. IEEE Access, IEEE, 7 (July 19), 71686-71695.
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Y. Cong. 2020. Research on Data Association Rules Mining Method Based on Improved Apriori Algorithm. In Proceedings of the 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE), IEEE, Bangkok, Thailand, 373-376.
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Published In
February 2022
124 pages
ISBN:9781450395724
DOI:10.1145/3528114
Copyright © 2022 ACM.
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Association for Computing Machinery
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Published: 24 June 2022
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DSDE 2022
DSDE 2022: 2022 the 5th International Conference on Data Storage and Data Engineering
February 25 - 27, 2022
Sanya, China
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