Food fraud data based on the European Rapid Alert System for Food and Feed (RASFF)

  • Wouter Hoenderdaal (Creator)

    Dataset

    Description

    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
    Date made available23 Jun 2020
    PublisherWageningen Food Safety Research
    Temporal coverage2000 - 2014

    Keywords

    • food fraud type prediction
    • RASFF
    • Bayesian networks

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