Fraud detection system: A survey

A Abdallah, MA Maarof, A Zainal - Journal of Network and Computer …, 2016 - Elsevier
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …

Sustainable effect of polycarboxylate ether based admixture: A meticulous experiment to hardened concrete

A Kumar, N Mathur, VS Rana, H Sood… - Materials Today …, 2022 - Elsevier
The manufacturing of high strength concrete uses chemicals called superplasticizers (SPs),
also referred to as high range water reducers. Chemical substances known as plasticizers …

Zooming into video conferencing privacy

D Kagan, GF Alpert, M Fire - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem

N Ofek, L Rokach, R Stern, A Shabtai - Neurocomputing, 2017 - Elsevier
Datasets that have imbalanced class distributions pose a challenge for learning and
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

A Mutemi, F Bacao - Scientific Reports, 2023 - nature.com
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 …

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 …

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 …

Detection of auction fraud in commercial sites

F Anowar, S Sadaoui - Journal of theoretical and applied electronic …, 2020 - SciELO Chile
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 …

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 …

[HTML][HTML] Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models

A Mutemi, F Bacao - International Journal of Information Management Data …, 2024 - Elsevier
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 …