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    • CardSim: A Bayesian Simulator for Payment Card Fraud Detection Research

    Metadata Updated: January 28, 2026

    Data included as part of a paper that introduces CardSim, a flexible, scalable payment card transaction simulation methodology that extends the small but emerging body of simulators available for payment fraud modeling research.

    The data are from the 2022 and 2023 Survey and Diary of Consumer Payment Choice public use datasets, published by the Federal Reserve Bank of Atlanta.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date January 28, 2026
    Metadata Updated Date January 28, 2026

    Metadata Source

    Harvested from Federal Reserve

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 28, 2026
    Metadata Updated Date January 28, 2026
    Publisher Board of Governors of the Federal Reserve System
    Maintainer
    Identifier FRBC0021
    Data Last Modified 2025-02-28
    Public Access Level public
    Bureau Code 920:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 4193bf31-5b5b-4302-b99d-d56c2ab679b0
    Harvest Source Id ed4f9073-f069-4049-8ee0-17ff5c98cd46
    Harvest Source Title Federal Reserve
    Homepage URL https://www.federalreserve.gov/econres/feds/cardsim-a-bayesian-simulator-for-payment-card-fraud-detection-research.htm
    Program Code 920:000
    Source Datajson Identifier True
    Source Hash a6257d5a4644abdef65ce69a053c97b2fff3dbd3d69f3ec0b30aec7dfbc0e783
    Source Schema Version 1.1

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