Results 31 to 40 of about 131,240 (196)
From Traditional Methods to Machine Learning: The Evolution of Fraud Detection in Auditing with New Technologies [PDF]
پژوهشهای تجربی حسابداریFraudulent financial reporting is a global issue with significant negative consequences for all stakeholders. However, detecting fraud remains challenging due to its subjective nature.
Zahra Taheri +2 more
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AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review
IEEE AccessRapid advancements in digital innovation and globalization has significantly increased the complexity of financial networks, making them more vulnerable to fraud.
Nusrat Jahan Sarna +6 more
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The Evaluation of Distributed Topic Modeling Paradigms for Detection Of Fraudulent Insurance Claims In Healthcare Forum [PDF]
MATEC Web of ConferencesHealthcare fraud is the deliberate misrepresentation of the healthcare industry for the purpose of obtaining unjustified financial gain. There are many different types of healthcare fraud, which can influence patients, healthcare professionals, insurers,
Subbarayudu Yerragudipadu +5 more
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Engineering Proceedings, 2023 The proliferation of internet services in various industries, especially the financial sector, has increased financial fraud. Fraud detection and prevention are critical to protecting both individuals and organizations from significant financial loss ...
Vikas R. Shetty +2 more
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Spectrum-based deep neural networks for fraud detection
, 2017 In this paper, we focus on fraud detection on a signed graph with only a small set of labeled training data. We propose a novel framework that combines deep neural networks and spectral graph analysis. In particular, we use the node projection (called as
Li, Jun +3 more
core +1 more source
Comparative analysis of binary and one-class classification techniques for credit card fraud data
Journal of Big Data, 2023 The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-commerce. To address this issue, effective fraud detection methods are essential. Our research focuses on the Credit Card Fraud Detection Dataset, which is a
Joffrey L. Leevy +2 more
doaj +1 more source
Electronic fraud detection in the U.S. Medicaid Healthcare Program: lessons learned from other industries [PDF]
, 2011 It is estimated that between $600 and $850 billion annually is lost to fraud, waste, and abuse in the US healthcare system,with $125 to $175 billion of this due to fraudulent activity (Kelley 2009).
Hillegersberg, Jos van +3 more
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Fraud Detection from a Business Perspective: Future Directions and Challenges [PDF]
, 2008 This contribution summarizes the state of the art of fraud detection in practice and shows the relations between the technology for fraud detection and intrusion detection.
, Bitz, Gunter, Flegel, Ulrich
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The Impact of Insurance Fraud Detection Systems [PDF]
The purpose of this paper is to characterize the impact of fraud detection systems on the auditing procedure and the equilibrium insurance contract, when a policyholder can report a loss that never occurred.
Jörg Schiller
core +3 more sources
IEEE AccessCurrently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat.
Zhichao Xie, Xuan Huang
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