Mostrando 281 - 300 Resultados de 1,278 Para Buscar '"fraude"', tiempo de consulta: 0.20s Limitar resultados
  1. 281
    por Kuo, Chin, Tsang, Seng-Su
    Publicado 2022
    “…All enterprises, regardless of industry, are exposed to fraud risk. In the retail industry, the perpetrators of fraud manipulate the sales price of products instead of the quantity sold to avoid inventory discrepancies. …”
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  2. 282
    por Prabhakaran, N., Nedunchelian, R.
    Publicado 2023
    “…Credit card fraud has drastically increased in recent times due to the advancements in e-commerce systems and communication technology. …”
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  3. 283
    por Lim, H., Letkiewicz, J. C.
    Publicado 2023
    “…This study utilizes the National Financial Well-Being Survey (NFWS) from the Consumer Financial Protection Bureau (CFPB) to investigate the profiles of American consumers who experience mistreatment or a type of fraud in financial services (compromised accounts). …”
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  4. 284
    “…The influencing factors of internet fraud, including demographics, psychology, experience and knowledge of susceptibility, have been widely studied. …”
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  5. 285
    por Carrera, Daniel P.
    Publicado 1973
    Materias: “…Fraude Argentina.…”
    Libro
  6. 286
    Libro
  7. 287
    “…BACKGROUND: With the rapid growth of healthcare services, health insurance fraud detection has become an important measure to ensure efficient use of public funds. …”
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  8. 288
    “…The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional anomaly detection and rule-based techniques are two of the most common utilized approaches for detecting cyber fraud, however, they are the most time-consuming, resource-intensive, and inaccurate. …”
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  10. 290
    “…Finally, Matlab 2020a is used for simulation analysis to provide a reference for the government to improve the supervision of healthcare fraud.…”
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  11. 291
    por Chung, Jiwon, Lee, Kyungho
    Publicado 2023
    “…In this regard, this paper proposes an improved algorithm for highly sensitive credit card fraud detection. Our approach leverages three machine learning models: K-nearest neighbor, linear discriminant analysis, and linear regression. …”
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  15. 295
    “…The additional possibility that biomarker research may be actively misdirected by research fraud has been given comparatively little consideration. …”
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  16. 296
    “…They also reacted less to olive oil fraud information than consumers who reported no prior knowledge of food fraud. …”
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  18. 298
    “…This paper presents a real-time fully autonomous prescriptive solution for explainable cyber-fraud detection within the iGaming industry. We demonstrate how our solution facilitates the time-consuming task of player risk and fraud assessment through prescriptive analytics. …”
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  19. 299
    “…To discover the frequency of possible frauds in labeling, samplings were carried out in July, September and November of 2019. …”
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