Results 211 to 220 of about 4,440,100 (389)
Customs fraud detection using a gradient boosting approach for joint classification and risk estimation. [PDF]
Alwanin R, Ismail MMB, Bchir O.
europepmc +1 more source
Machine Learning Applications for Fraud Detection and Financial Sentiment [PDF]
Shannon Waller +3 more
openalex +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
A Privacy-Preserving Approach to Health Insurance Fraud Detection Using Vertical Federated Learning. [PDF]
R RK +3 more
europepmc +1 more source
ABSTRACT Population aging is a problem that countries around the globe are facing; it comes with complex healthcare needs. Different countries take different approaches to solving these issues. In the United States, proposed legislation related to hospice and palliative care emerged from a history of hospice fraud and specialty physician shortages.
Edith‐Marie Green
wiley +1 more source
Enhancing credit card fraud detection using DBSCAN-augmented disjunctive voting ensemble. [PDF]
Ghalwash MA +3 more
europepmc +1 more source
Fraud Detection in E-Commerce: A Systematic Review of Transaction Risk Prevention
Susie Xi Rao +3 more
openalex +2 more sources
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
This study aims to discover how the Indonesian Local Government Rural Bank improves the quality of the anti-fraud team to prevent and detect fraud based on a mechanism of the anti-fraud strategy issued by Bank Indonesia.
Kharisma Fatmalina Fajri +1 more
doaj
The analysis of fraud detection in financial market under machine learning. [PDF]
Jin J, Zhang Y.
europepmc +1 more source

