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Research of Food Safety Risk Assessment System Based on Data Mining

机译:基于数据挖掘的食品安全风险评估系统研究

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Data mining is a new data analysis technology, playing an increasingly important role in many industries. Taking it into the food safety inspection data analysis can make food safety testing data analysis and early warning more intelligent and precise. In this study, a data mining subsystem of the CQS platform is detailed designed. A mining database is made from the data published by General Administration of Quality Supervision, Inspection and Quarantine. On basis of this database, mining model set used by the subsystem is established; meanwhile mining results and performance are analyzed.
机译:数据挖掘是一种新的数据分析技术,在许多行业中发挥着越来越重要的作用。将其进入食品安全检查数据分析可以使食品安全测试数据分析和提前预警更智能和精确。在本研究中,设计了CQS平台的数据挖掘子系统。矿业数据库是由质量监督,检验检疫总署公布的数据。在此数据库的基础上,建立了子系统使用的挖掘模型集;同时分析了挖掘成绩和性能。

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