Results 21 to 30 of about 132,324 (298)
A prescription fraud detection model [PDF]
Prescription fraud is a main problem that causes substantial monetary loss in health care systems. We aimed to develop a model for detecting cases of prescription fraud and test it on real world data from a large multi-center medical prescription database.
Aral, K. D. +3 more
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Given the important socio-economic role performed by Small, Medium and Micro Enterprises (SMMEs) and the negative consequences of fraud on their businesses, the objective of this study was to investigate the perceptions and management of fraud by SMME ...
Suzette Viviers, Danie Venter
doaj +1 more source
In today scenario for data and fund transfer we are mainly depended on the internet. So prevention of fraud, abuse and data alteration through internet has become a major concern of many organizations. Our paper focuses the direction towards the document fraud detection.
Ashifa. T, Sathya. R
openaire +1 more source
An Introduction to Machine Learning Methods for Fraud Detection
Financial fraud represents a critical global challenge with substantial economic and social consequences. This comprehensive review synthesizes the current knowledge on machine learning approaches for financial fraud detection, examining their ...
Antonio Alessio Compagnino +6 more
doaj +1 more source
A Systematic Literature Review of Fraud Detection Metrics in Business Processes
Fraud is a primary source of organization losses, amounting to up to 5% of yearly revenues. Process-based fraud (PBF) is fraud involving a deviation from the standard operating procedure (SOP) of business processes.
Badr Omair, Ahmad Alturki
doaj +1 more source
A Review of Financial Accounting Fraud Detection based on Data Mining Techniques
With an upsurge in financial accounting fraud in the current economic scenario experienced, financial accounting fraud detection (FAFD) has become an emerging topic of great importance for academic, research and industries.
Panigrahi, Prabin Kumar, Sharma, Anuj
core +1 more source
BackgroundWeb-based surveys increase access to study participation and improve opportunities to reach diverse populations. However, web-based surveys are vulnerable to data quality threats, including fraudulent entries from ...
Stephen Bonett +7 more
doaj +1 more source
Search Rank Fraud De-Anonymization in Online Systems
We introduce the fraud de-anonymization problem, that goes beyond fraud detection, to unmask the human masterminds responsible for posting search rank fraud in online systems.
Akoglu Leman +6 more
core +1 more source
A machine learning based credit card fraud detection using the GA algorithm for feature selection
The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
doaj +1 more source
What Is Fraud and Who Is Responsible? [PDF]
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.
core +1 more source

