Results 111 to 120 of about 5,725,522 (200)
A Timelier Credit Card Fraud Detection by Mining Transaction Time Series
As e-commerce sales continue to grow, the associated online fraud remains an attractive source of revenue for fraudsters. These fraudulent activities impose a considerable financial loss to merchants, making online fraud detection a necessity.
Leila Seyedhossein, Mahmoud Reza Hashemi
doaj
This study aims to analyze the effect of Fraud Pentagon, Audit Quality, and Financial Performance on the risk of financial statement fraud at PT Indofarma Tbk during the period 2020-2023.
Carsinah Azhara +3 more
doaj
Continuous fraud detection in enterprise systems through audit trial analysis
Enterprise systems, real time recording and real time reporting pose new and significant challenges to the accounting and auditing professions. This includes developing methods and tools for continuous assurance and fraud detection.
Best, Peter J. +2 more
core
Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits.
Luisa Ximena Bustamante Molano +9 more
core +1 more source
Utilising text mining in financial fraud detection
Financial fraud poses a significant threat to global economies with technological advancements, environmental shifts, and changes in the fraud landscape.
Perttilä, Emma
core
Merging automobile regulatory bodies: The case of Atlantic Canada [PDF]
The recent automobile liability insurance crisis in Atlantic Canada has prompted the four provincial legislations (Newfoundland and Labrador, New Brunswick, Nova Scotia and Prince Edward Island) to setup a task force to redesign, if necessary, the ...
Schiller, Jörg, Boyer, M. Martin
core
The fraud detection triangle:A new framework for selecting variables in fraud detection research
The selection of explanatory (independent) variables is crucial to developing a fraud detectionmodel. However, the selection process in prior financial statement fraud detection studies isnot standardized.
Bhattacharya, Sukanto +2 more
core +1 more source
Real-time dynamic graph learning with temporal attention for financial fraud detection. [PDF]
Chen J, Yang Y.
europepmc +1 more source
Financial fraud detection model based on risk weight aggregation federated learning
Financial fraud had caused significant losses to financial institutions and consumers, making the rapid, effective, and accurate identification and prevention of financial fraud a widely concerned issue.
SUN Yuanlin +4 more
doaj
Uncertainty-aware spatio-temporal contrastive graph neural networks for cyber financial fraud detection and risk management. [PDF]
Shi Y, Tang M.
europepmc +1 more source

