Results 71 to 80 of about 4,440,100 (389)
International Research Journal of Computer ScienceThis paper explores the development of an intelligent Medicare Fraud Detection System using advanced machine learning and deep learning models. The primary objective is to minimize fraudulent healthcare claims and enhance the efficiency of public fund allocation. The proposed system places a strong emphasis on explainability, transparency, and fairness
Retika D, Vani N
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Finance & Accounting Research JournalIn the face of increasing complexity and rapid technological advancements, traditional internal audit methods are becoming inadequate for comprehensive risk assessment and effective fraud detection.
Oluwatosin Ilori +2 more
semanticscholar +1 more source
What Is Fraud and Who Is Responsible? [PDF]
, 2006 Research shows that fraudulent activity affecting the financial statements is more prevalent than ever despite the increased attention devoted to the prevention and detection of fraud by companies and professional accountants.
Akers, Michael D., Gissel, Jodi L.
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Business Strategy and the Environment, EarlyView.ABSTRACT Environmental, social, and governance (ESG) is pivotal for firms and their stakeholders, highlighting the importance of organizational authenticity (OA) in mitigating information asymmetry between signalers and receivers, thereby enhancing effective communication of social strategies.
Jihun Choi, Young‐Kyu Kim, Taewoo Roh
wiley +1 more source
Multi-view graph neural network for fraud detection algorithm
Tongxin xuebao, 2022 Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-view ...
Zhuo CHEN, Miao ZHU, Junwei DU
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Statistical Fraud Detection: A Review
Statistical Science, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bolton, Richard J., Hand, David J.
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Business Strategy and the Environment, EarlyView.ABSTRACT This paper investigates how environmental certifications—specifically, formal environmental management systems (EMSs) (ISO 14001, EMAS), and consumer‐facing eco‐labels—influence firm financial performance. Using a dual approach that includes a bibliometric review and a systematic analysis of key studies, we identify key trends, theoretical ...
Alberto Citterio
wiley +1 more source
MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business.
Z. Karimi Zandian, M. R. Keyvanpour
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AI-POWERED FRAUD DETECTION IN BANKING: SAFEGUARDING FINANCIAL TRANSACTIONS
The American Journal of Management and Economics InnovationsThe banking industry's metamorphosis through digitalization has unquestionably revolutionized accessibility and convenience for customers worldwide.
F. Johora +4 more
semanticscholar +1 more source
, 2017 Most past work on social network link fraud detection tries to separate genuine users from fraudsters, implicitly assuming that there is only one type of fraudulent behavior. But is this assumption true?
Beutel, Alex +3 more
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