Results 61 to 70 of about 34,803 (186)
The Modern Law Review, EarlyView.In Waller‐Edwards v One Savings Bank Plc, the Supreme Court addressed, for the first time, the significant question of whether banks were put on constructive notice of potential undue influence in so‐called ‘hybrid’ scenarios. ‘Hybrid’ scenarios are those in which loan monies are advanced to a couple partly for their joint benefit and partly for one ...
Chris Bevan
wiley +1 more source
Criminology, EarlyView.Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +1 more source
A Hybrid Deep Learning Ensemble Model for Credit Card Fraud Detection
IEEE AccessThe rising volume of online transactions has concurrently increased the incidence of credit card fraud, presenting severe challenges to financial institutions and consumers alike.
Emmanuel Ileberi, Yanxia Sun
doaj +1 more source
Machine Learning and Knowledge Extraction, 2023 Data augmentation is an important procedure in deep learning. GAN-based data augmentation can be utilized in many domains. For instance, in the credit card fraud domain, the imbalanced dataset problem is a major one as the number of credit card fraud ...
Emilija Strelcenia, Simant Prakoonwit
doaj +1 more source
A Review of Financial Accounting Fraud Detection based on Data Mining Techniques
, 2012 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
Credit Card Fraud Detection by Nearest Neighbor Algorithms [PDF]
, 2023 As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day.
Maghsood, Ramin
core
Human Resource Management Journal, EarlyView.ABSTRACT Guided by the Actor‐Network Theory (ANT) perspective, this study explores user experiences with the perceived agency of algorithmic technology in the context of talent management (TM) decisions. Through a qualitative analysis of 11 client companies utilizing algorithmic TM decision‐making technology provided by an HR tech service firm, we ...
Violetta Khoreva +2 more
wiley +1 more source
Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models
IEEE AccessCredit card fraud detection remains a significant challenge in the financial industry, necessitating advanced models to identify fraudulent activities while minimizing false positives accurately.
Thi-Thu-Huong Le +3 more
doaj +1 more source
Credit Card Fraud Detection: Machine Learning and Deep Learning Advances, Challenges, and Future Directions [PDF]
ITM Web of ConferencesCredit card fraud poses significant risks to financial institutions and cardholders, necessitating robust detection systems. This paper reviews advancements in machine learning and deep learning for credit card fraud detection, including traditional rule-
Bian Chaobo
doaj +1 more source
An Overview of the Use of Neural Networks for Data Mining Tasks [PDF]
, 2012 In the recent years the area of data mining has experienced a considerable demand for technologies that extract knowledge from large and complex data sources.
Alberts B +22 more
core +1 more source