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Détection automatique de fraude dans les marchés publics : Application aux cas français

Author

Listed:
  • Lucas Potin

    (LIA - Laboratoire Informatique d'Avignon - AU - Avignon Université - Centre d'Enseignement et de Recherche en Informatique - CERI)

  • Rosa Figueiredo

    (LIA - Laboratoire Informatique d'Avignon - AU - Avignon Université - Centre d'Enseignement et de Recherche en Informatique - CERI)

  • Vincent Labatut

    (LIA - Laboratoire Informatique d'Avignon - AU - Avignon Université - Centre d'Enseignement et de Recherche en Informatique - CERI)

  • Christine Largeron

    (LabHC - Laboratoire Hubert Curien - IOGS - Institut d'Optique Graduate School - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Pierre-Henri Morand

    (LBNC - Laboratoire Biens, Normes, Contrats - AU - Avignon Université)

Abstract

Extraction et enrichissement d'une base de données de marchés publics français en fonction des différentes sources disponibles. Construction de graphes et classification pour prédire des comportements frauduleux.

Suggested Citation

  • Lucas Potin & Rosa Figueiredo & Vincent Labatut & Christine Largeron & Pierre-Henri Morand, 2022. "Détection automatique de fraude dans les marchés publics : Application aux cas français," Post-Print hal-03833237, HAL.
    • Handle: RePEc:hal:journl:hal-03833237
    Note: View the original document on HAL open archive server: https://hal.science/hal-03833237
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