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Artificial Intelligence in Religious Certification: A Comprehensive Review of Halal Digitalization, Compliance Integrity, and Future Directions. [PDF]
Int J Food SciRiaz MN, Irshad F, Haider MB.
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A computational model for financial reporting fraud detection
Decision Support Systems, 2011A computational fraud detection model (CFDM) was proposed for detecting fraud in financial reporting. CFDM uses a quantitative approach on textual data. It incorporates techniques that use essentially all of information contained in the textual data for fraud detection.
Surya B Yadav
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Financial Statement Fraud Detection with Fraud Triangle
International Journal of Emerging Trends in Social Sciences, 2022The 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
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Detecting Fraud in Financial Reports
2012 European Intelligence and Security Informatics Conference, 2012Fraud in public companies has a large financialimpact, and yet is only weakly detected by those who look for it, many incidents have been detected only when whistleblowers have come forward. We examine the problem of detecting fraud from the textual component of the quarterly and annual reports that public companies are required to file.
David B. Skillicorn, Lynnette D. Purda
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Intelligent financial fraud detection: A comprehensive review
Computers and Security, 2016Maumita Bhattacharya
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MCDM method for Financial Fraud Detection
Proceedings of the 4th International Conference on Big Data and Internet of Things, 2019Financial fraud has a big impact on the financial sector, governments, companies and ordinary consumers. With reliance on new technologies such as cloud and mobile computing, the impact of this problem has become very dangerous. The overall losses caused by financial fraud are uncountable, which makes its detection indispensable to prevent the ...
Maryeme Taher +2 more
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A financial fraud detection indicator for investors: an IDeA
Annals of Operations Research, 2019Fraud detection is a key issue for investors and financial authorities. The Ponzi schemeorganized by Bernard Madoff is a magnified example of a financial fraud, always possiblewhen well-orchestrated. Traditional methods to detect fraud require costly and lengthyinvestigations that involve complex financial and legal knowledge, as well as highly ...
Bernard, Philippe +2 more
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Deep learning for detecting financial statement fraud
Decision Support Systems, 2020Abstract Financial statement fraud is an area of significant consternation for potential investors, auditing companies, and state regulators. The paper proposes an approach for detecting statement fraud through the combination of information from financial ratios and managerial comments within corporate annual reports.
Patricia Craja +2 more
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Fuzzy Ranking of Financial Statements for Fraud Detection
2006 IEEE International Conference on Fuzzy Systems, 2006Automatic detection of anomalies in financial statements can decrease the risk of exposure to fraudulent corporate behavior. This paper proposes a method to convert fraud classification rules learned from a genetic algorithm to a fuzzy score representing the degree to which a company's financial statements match those rules.
Wei Chai +2 more
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Comparing ML Algorithms on Financial Fraud Detection
Proceedings of the 2019 2nd International Conference on Data Science and Information Technology, 2019The problem of Financial Fraud has reached an alarming scale nowadays. Losses due to the fraud are reaching billions of dollars every year. To reduce it, decision systems that use efficient fraud detection algorithms should be invented. With the support of modern technologies, these systems are able to manage to analyze the information and to create a ...
Chung Min Tae, Phan Duy Hung
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