Corpus ID: 53003301

Inspecting less to inspect better: The use of data mining for risk management by customs administrations

@inproceedings{Ousmane2012InspectingLT,
  title={Inspecting less to inspect better: The use of data mining for risk management by customs administrations},
  author={Coundoul Ousmane and Gadiaga Massene and Geourjon Anne-Marie and B. Laporte},
  year={2012}
}

Coundoul Ousmane, Gadiaga Massene, +1 author B. Laporte

Published 2012

Engineering

In order to limit the number of intrusive inspections, the most modern customs administrations rely on risk analysis as the only effective tool for facilitating trade and securing their operations given the important growth in trade volume in recent years. However, customs administrations in developing countries have been slow to adopt this methodology. This paper demonstrates that based on the experience of Senegal, data mining and statistical scoring techniques can be used effectively by… CONTINUE READING

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