The Application Of The Data Mining Technology On Import Food Quality Inspection

Initially for the economic and technological level of restrictions, the economic trade less involved in the food, so food safety concerns only one country's security problems. But with the economic and technological development, the deepening global economic integration, economic and trade exchanges in the country. Food trade has become an integral part of national import and export trade. Although import and export food bring consumers with rich material enjoyment, food safety issues also will be highlighted. In particular, the recent nuclear leak in Japan brings the world the importance of starting a new food safety awareness. Supervision of food quality and safety is the responsibility of General Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China. On the bureau's CQS (Chinese Quality Supervision) information platform food safety testing data analysis and early warning is based on mathematical statistics.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 paper,?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.