Application of Association Rule Mining on Food Safety Test Data

Kai Chen; Hong Tan; Jie Gao; Da Xia Wang

doi:10.4028/www.scientific.net/AMM.556-562.4681

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Application of Association Rule Mining on Food...

Application of Association Rule Mining on Food Safety Test Data

Abstract:

For the purpose of improving scientific regulatory and effectively making use of supervision information for food safety, we have collected more than 200,000 testing data in the information system from 2009 to 2013. In this paper, with association rule, several analytical models, as exemplified by soy data, was created according to the feature of soy. Valuable information can be obtained from massive testing data, which is conducive to food safety supervisions.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4681-4684

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4681

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Cite this paper

Online since:

May 2014

Authors:

Kai Chen*, Hong Tan, Jie Gao, Da Xia Wang

Keywords:

Association, Data Mining (DM), Food Safety, Rule, Test Data

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* - Corresponding Author

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