Results 61 to 70 of about 5,725,522 (200)
Fraud in the banking industry: a case study of Kenya [PDF]
, 2012 Fraud has become a worldwide problem that is not set to abate in the near future. It is eroding the profitability of organisations with devastating effects on firm solvency.
Akelola, S
core
Machine learning applications for Fraud Detection in finance sector
, 2022 Due to advances in information technology, instantaneous accessibility to financial services through digital channels has increased. Although digital platforms’ usage makes an individual’s life more comfortable, it may also cause some critical ...
Bozyiğit, Fatma +3 more
core +1 more source
Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions
Intelligent ComputingFinancial fraud detection is an important task in ensuring the integrity and security of financial systems. In recent years, it has been shown that graph learning, which utilizes the relational structure of data, can considerably enhance the detection of
Enxia Li +3 more
doaj +1 more source
Financial Fraud Detection with Entropy Computing
15 pages including references and appendix, 6 ...
Babak Emami +5 more
openaire +2 more sources
Вестник Дагестанского государственного технического университета: Технические наукиObjective. Bank card fraud is an increasingly serious problem for individuals, businesses and financial institutions. There is a need for effective fraud detection measures to protect consumers and businesses from financial losses. Method.
Abdourahman Djamal Djama
doaj +1 more source
The Effect of Hexagon Fraud Theory on Financial Statement Fraud with Audit Committee As a Moderating Variable [PDF]
Increased competition forces companies to prepare accurate financial statements. However, this situation also encourages unethical practices, such as financial reporting fraud or manipulation.
Hasna, Dinda Aulia, Novianti, Nurlita
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Intelligent Financial Fraud Detection Practices: An Investigation [PDF]
, 2015 Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm 2014)
Jarrod West +2 more
openaire +3 more sources
Reading Between the Lines: Incorporating Text Mining and Machine Learning in Financial Fraud Detection [PDF]
Notwithstanding rigorous oversight in the Indonesian capital market, the manipulation of financial reports continues to occur. This study examines the potential for employing machine learning (ML) models, which utilize linguistic features and financial ...
Septia Wibowo, Agung, Istianah, Iis
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Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms
Wasit Journal of Computer and Mathematics ScienceContext: Cloud-based services are increasingly central in financial technology, enabling scalable and efficient transactions. However, they also heighten vulnerability to fraud, challenging the security of online financial activities.
Ali Alhchaimi
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Detection of Frauds in Financial Reporting
International Journal of Recent Technology and Engineering (IJRTE), 2020 Many researches have been done on annual reports to detect whether it is fraud or not by the analytical and empirical part of the report. Annual reports provide information on a company’s activities throughout a year. By analyzing the annual report, we can identify the condition of the company whether it is in crisis or operating perfectly.
openaire +1 more source