An intelligent approach to credit card fraud detection using an optimized light gradient boosting machine

AA Taha, SJ Malebary - IEEE access, 2020 - ieeexplore.ieee.org
New advances in electronic commerce systems and communication technologies have
made the credit card the potentially most popular method of payment for both regular and …

Detecting credit card fraud using selected machine learning algorithms

M Puh, L Brkić - 2019 42nd International Convention on …, 2019 - ieeexplore.ieee.org
Due to the immense growth of e-commerce and increased online based payment
possibilities, credit card fraud has become deeply relevant global issue. Recently, there has …

Credit card fraud detection using autoencoder model in unbalanced datasets

MA Al-Shabi - Journal of Advances in Mathematics and …, 2019 - science.sdpublishers.org
Fraudulent credit card transaction is still one of problems that face the companies and banks
sectors; it causes them to lose billions of dollars every year. The design of efficient algorithm …

Credit card fraud detection in card-not-present transactions: Where to invest?

I Mekterović, M Karan, D Pintar, L Brkić - Applied Sciences, 2021 - mdpi.com
Online shopping, already on a steady rise, was propelled even further with the advent of the
COVID-19 pandemic. Of course, credit cards are a dominant way of doing business online …

Fraud prediction in smart supply chains using machine learning techniques

FV Constante-Nicolalde, P Guerra-Terán… - … Conference on Applied …, 2019 - Springer
In the domain of Big Data, the company's supply chain has a very high-risk exposure and
this must be observed from a preventive perspective, that is, act before such situations occur …

Comparing Naïve Bayes, decision tree and logistic regression methods in fraudulent credit card transactions

MA Alanezi, MT Homeed… - … conference on data …, 2020 - ieeexplore.ieee.org
Data mining is utilized to explore banks' data to unravel any hidden scams and detect
potential frauds. The aim of this paper is to compare between the Naïve Bayes, Decision …

Analysis of variant data mining methods for depiction of fraud

Q Ul Ain, MA Zia, N Asghar, A Saleem - Proceedings of the Fourteenth …, 2020 - Springer
Financial fraud is a growing problem with far-reaching concerns in the financial sector.
Online transaction is the basic problem that raises many fraudulent quires around the world …

[PDF][PDF] Machine learning for credit card fraud detection-practical handbook

YA Le Borgne, G Bontempi - ACM SIGKDD explorations newsletter, 2004 - researchgate.net
Payment card fraud is a major challenge for business owners, payment card issuers, and
transactional services companies, causing every year substantial and growing nancial …

Design and Implementation of Deep Autoencoder Fraud Detection Model

V Khattri, S Kumar Nayak, D Kumar Singh… - … and Mitigation of …, 2024 - Springer
The global digital growth promotes online payment transactions with plastic money card.
The growth of online payment transactions attracts cybercriminals, fraudsters, and hackers to …

Design Framework for Online Payment Transaction Fraud Detection

V Khattri, S Kumar Nayak, D Kumar Singh… - … and Mitigation of …, 2024 - Springer
Online payment transactions pose a risk of fraudulent transactions. In addition to security
measures, fraudsters perform unauthorized online payment transactions. Because, at …