A machine learning based credit card fraud detection using the GA algorithm for feature selection
Journal of Big Data, 2022 The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
doaj +2 more sources
Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network
Systems, 2023 In recent years, with the rapid development of Internet technology, the number of credit card users has increased significantly. Subsequently, credit card fraud has caused a large amount of economic losses to individual users and related financial ...
Shanshan Jiang +3 more
doaj +2 more sources
Comparative analysis of binary and one-class classification techniques for credit card fraud data
Journal of Big Data, 2023 The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-commerce. To address this issue, effective fraud detection methods are essential. Our research focuses on the Credit Card Fraud Detection Dataset, which is a
Joffrey L. Leevy +2 more
doaj +2 more sources
A systematic review of literature on credit card cyber fraud detection using machine and deep learning. [PDF]
PeerJ Comput Sci, 2023 The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide.
Marazqah Btoush EAL +5 more
europepmc +2 more sources
Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression. [PDF]
Sensors (Basel), 2023 Efficiently and accurately identifying fraudulent credit card transactions has emerged as a significant global concern along with the growth of electronic commerce and the proliferation of Internet of Things (IoT) devices.
Chung J, Lee K.
europepmc +2 more sources
Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection. [PDF]
Comput Intell Neurosci, 2023 Credit card fraud has drastically increased in recent times due to the advancements in e-commerce systems and communication technology. Falsified credit card transactions affect the financial status of the companies as well as clients regularly and ...
Prabhakaran N, Nedunchelian R.
europepmc +2 more sources
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation [PDF]
AAAI Conference on Artificial Intelligence, 2023 Credit card fraud incurs a considerable cost for both cardholders and issuing banks. Contemporary methods apply machine learning-based classifiers to detect fraudulent behavior from labeled transaction records.
Sheng Xiang +7 more
semanticscholar +1 more source
Credit Card Fraud Detection Using State-of-the-art Machine Learning and Deep Learning Algorithms
IEEE Access, 2023 People can make use of credit card for online transactions as it provides efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial
F. Alarfaj +5 more
semanticscholar +1 more source
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
IEEE Access, 2023 Credit cards play an essential role in today’s digital economy, and their usage has recently grown tremendously, accompanied by a corresponding increase in credit card fraud.
Ibomoiye Domor Mienye, Yanxia Sun
semanticscholar +1 more source
Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS). [PDF]
Int J Inf Technol, 2023 Credit card fraud is a growing problem nowadays and it has escalated during COVID-19 due to the authorities in many countries requiring people to use cashless transactions.
Ahmad H +3 more
europepmc +2 more sources