Food fraud data based on the European Rapid Alert System for Food and Feed (RASFF)
The data contains information on food fraud and was used to predict food fraud type using a Bayesian Network model. Food fraud notifications for the period 2000-2014 were downloaded from the Rapid Alert System for Food and Feed (RASFF) database. Each record contains detailed information on the kind of notification and the products and countries involved. Based on the description in each notification we added a variable "food fraud type" (i.e. six different types of food fraud). A set of 749 notifications for the years 2000-2013 was used to train a Bayesian Network model to predict food fraud type. This model was validated using the 88 notifications for the year 2014. Interpretation of the data and details on the performance of the BN model can be found in the research article titled “Prediction of food fraud type using data from Rapid Alert System for Food and Feed (RASFF) and Bayesian network modelling” https://doi.org/10.1016/j.foodcont.2015.09.026 Column names year - year notification was made product - categorization of the different products notification - categorization of the notifications notified - country that made the notification origin - country where the product originated from fraud - classification of fraud type
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| Format: | Dataset biblioteca |
| Published: |
Wageningen Food Safety Research
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| Subjects: | Bayesian networks, RASFF, food fraud type prediction, |
| Online Access: | https://research.wur.nl/en/datasets/food-fraud-data-based-on-the-european-rapid-alert-system-for-food |
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| Summary: | The data contains information on food fraud and was used to predict food fraud type using a Bayesian Network model. Food fraud notifications for the period 2000-2014 were downloaded from the Rapid Alert System for Food and Feed (RASFF) database. Each record contains detailed information on the kind of notification and the products and countries involved. Based on the description in each notification we added a variable "food fraud type" (i.e. six different types of food fraud). A set of 749 notifications for the years 2000-2013 was used to train a Bayesian Network model to predict food fraud type. This model was validated using the 88 notifications for the year 2014. Interpretation of the data and details on the performance of the BN model can be found in the research article titled “Prediction of food fraud type using data from Rapid Alert System for Food and Feed (RASFF) and Bayesian network modelling” https://doi.org/10.1016/j.foodcont.2015.09.026 Column names year - year notification was made product - categorization of the different products notification - categorization of the notifications notified - country that made the notification origin - country where the product originated from fraud - classification of fraud type |
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