Abstract

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.

Keywords:

Data mining, food safety inspection, quality supervision,

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Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.