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Corrigendum to "Global calibration for non-targeted fraud detection in quinoa flour using portable hyperspectral imaging and chemometrics" [Curr. Res. Food Sci. (2023), 100483]. [PDF]

Curr Res Food Sci
Wu Q, Mousa MAA, Al-Qurashi AD, Ibrahim OHM, Abo-Elyousr KAM, Rausch K, Abdel Aal AMK, Kamruzzaman M.   +7 more
europepmc   +1 more source

Detection and Prediction of Financial Fraud Using Deep Learning Methods: A case of the Companies Listed in the Amman Stock Exchange

Mohammad Haroun Sharairi
openalex   +2 more sources

Automatic Recommender System of Development Platforms for Smart Contract-Based Health Care Insurance Fraud Detection Solutions: Taxonomy and Performance Evaluation.

J Med Internet Res
Kaafarani R, Ismail L, Zahwe O.
europepmc   +1 more source

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Financial Statement Fraud Detection with Fraud Triangle

International Journal of Emerging Trends in Social Sciences, 2022
The purpose of this study was to analyze elements in the fraud triangle to clarify the possibility of financial statement fraud in the consumer goods industry subsector. The population in this study is all manufacturing companies in the consumer goods industry sub-sector measured by the M-score model.
Meel Akbar, Basyiruddin Nur, Budi Andru
openaire   +1 more source

Secure and Transparent Banking: Explainable AI-Driven Federated Learning Model for Financial Fraud Detection

Journal of Risk and Financial Management
The increasing sophistication of fraud has rendered rule-based fraud detection obsolete, exposing banks to greater financial risk, reputational damage, and regulatory penalties.
Saif Khalifa Aljunaid, Saif Jasim Almheiri, Hussain Dawood, Muhammad Adnan Khan   +3 more
semanticscholar   +1 more source

Adaptive Fraud Detection

Data Mining and Knowledge Discovery, 1997
One method for detecting fraud is to check for suspicious changes in user behavior. This paper describes the automatic design of user profiling methods for the purpose of fraud detection, using a series of data mining techniques. Specifically, we use a rule-learning program to uncover indicators of fraudulent behavior from a large database of customer ...
Tom Fawcett, Foster Provost
openaire   +1 more source

Deep learning in high-frequency trading: Conceptual challenges and solutions for real-time fraud detection

World Journal of Advanced Engineering Technology and Sciences
High-frequency trading (HFT) has transformed financial markets by enabling rapid execution of trades, exploiting market inefficiencies, and optimizing trading strategies.
Halima Oluwabunmi, Halima Oluwabunmi Bello, Adebimpe Bolatito, Maxwell Nana Ameyaw   +3 more
semanticscholar   +1 more source

Multiple algorithms for fraud detection

Knowledge-Based Systems, 2000
This paper describes an application of Case-Based Reasoning to the problem of reducing the number of final-line fraud investigations in the credit approval process. The performance of a suite of algorithms, which are applied in combination to determine a diagnosis from a set of retrieved cases, is reported.
Richard Wheeler, Stuart Aitken
openaire   +1 more source