Fraud detection system: A survey
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …
enabled most financial transactions to be performed through the electronic commerce …
Sustainable effect of polycarboxylate ether based admixture: A meticulous experiment to hardened concrete
The manufacturing of high strength concrete uses chemicals called superplasticizers (SPs),
also referred to as high range water reducers. Chemical substances known as plasticizers …
also referred to as high range water reducers. Chemical substances known as plasticizers …
Zooming into video conferencing privacy
The unprecedented growth in video conferencing usage is accompanied by multiple security
and privacy threats. Importantly, protecting users' privacy is not always in their own hands …
and privacy threats. Importantly, protecting users' privacy is not always in their own hands …
Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem
Datasets that have imbalanced class distributions pose a challenge for learning and
classification algorithms. Imbalanced datasets exist in many domains, such as: fraud …
classification algorithms. Imbalanced datasets exist in many domains, such as: fraud …
A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces
Organized retail crime (ORC) is a significant issue for retailers, marketplace platforms, and
consumers. Its prevalence and influence have increased fast in lockstep with the expansion …
consumers. Its prevalence and influence have increased fast in lockstep with the expansion …
Fuzzy rule-based oversampling technique for imbalanced and incomplete data learning
G Liu, Y Yang, B Li - Knowledge-Based Systems, 2018 - Elsevier
Datasets that have skewed class distributions pose a difficulty to learning algorithms in
pattern classification. A number of different methods to deal with this problem have been …
pattern classification. A number of different methods to deal with this problem have been …
Getting into the mind of an “in-auction” fraud perpetrator
J Trevathan - Computer Science Review, 2018 - Elsevier
Online auctions are a popular means for exchanging items over the Internet. However,
participants can behave in an undesirable manner during an auction in an attempt to gain …
participants can behave in an undesirable manner during an auction in an attempt to gain …
Detection of auction fraud in commercial sites
Online auctions have become one of the most convenient ways to commit fraud due to a
large amount of money being traded every day. Shill bidding is the predominant form of …
large amount of money being traded every day. Shill bidding is the predominant form of …
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
M Sun, W Sun, Y Sun, S Liu, M Jiang… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
This paper presents a novel approach to credit risk prediction by employing Graph
Convolutional Neural Networks (GCNNs) to assess the creditworthiness of borrowers …
Convolutional Neural Networks (GCNNs) to assess the creditworthiness of borrowers …
[HTML][HTML] Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models
As online shop** expands rapidly, so does the prevalence of fraud, resulting in significant
losses for retailers. According to the 2020 National Retail Federation (NRF) report …
losses for retailers. According to the 2020 National Retail Federation (NRF) report …