Results 61 to 70 of about 34,999 (183)
Electronic fraud detection in the U.S. Medicaid Healthcare Program: lessons learned from other industries [PDF]
It is estimated that between $600 and $850 billion annually is lost to fraud, waste, and abuse in the US healthcare system,with $125 to $175 billion of this due to fraudulent activity (Kelley 2009).
Hillegersberg, Jos van +3 more
core +3 more sources
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
The 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
Neural fraud detection in credit card operations [PDF]
This paper presents an online system for fraud detection of credit card operations based on a neural classifier. Since it is installed in a transactional hub for operation distribution, and not on a card-issuing institution, it acts solely on the information of the operation to be rated and of its immediate previous history, and not on historic ...
Dorronsoro Ibero, José Ramón +3 more
openaire +3 more sources
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
Credit 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]
Credit 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
Exploring the Materiality of Data Breach Disclosures on the Australian Stock Exchange
This study examines Australian Stock Exchange (ASX) data breach announcements to provide insights into the extent and nature of data breach disclosures, as well as the costs, particularly to stakeholder relationships. Using a dataset of all data breach‐related announcements on the ASX, we identify a lack of data breach disclosure and, where disclosures
Jane Andrew +3 more
wiley +1 more source
The Nielsen Report points out that credit card fraud caused business losses of USD 28.65 billion globally in 2019, with the US accounting for more than one-third of the high share, and that insufficient identification of credit card fraud has brought ...
Boyu Liu, Longrui Wu, Shengdong Mu
doaj +1 more source
ABSTRACT This article examines the death penalty in Malaysia, where foreign nationals have historically been sentenced to death at a disproportionately high rate. The international community has recognised that foreign defendants are disadvantaged in alien criminal justice systems and made efforts to address this through the United Nation's Vienna ...
Carolyn Hoyle, Lucy Harry
wiley +1 more source

