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Food fraud prediction using Bayesian network
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Why is it important?
The aim of this study was to predict the expected food fraud type for imported products for which the product category and country of origin are known in order to target enforcement activities. For this purpose we used a Bayesian Network (BN) model that was developed based on adulteration/fraud notifications as reported in the Rapid Alert System for Food and Feed (RASFF) in the period 2000–2013.
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This page is a summary of: Prediction of food fraud type using data from Rapid Alert System for Food and Feed (RASFF) and Bayesian network modelling, Food Control, March 2016, Elsevier,
DOI: 10.1016/j.foodcont.2015.09.026.
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