Credit Card Fraud Detection Using Machine Learning [PDF]
In the modern digital economy, credit card fraud poses a significant challenge, necessitating the development of effective detection systems to mitigate substantial financial losses.
Kothari, Shivang Himmatbhai
core +1 more source
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art methods used to analyse and detect complex patterns in ...
Ibomoiye Domor Mienye, Nobert Jere
doaj +1 more source
Unsupervised feature selection and class labeling for credit card fraud
Large datasets frequently lack class labels, and obtaining labeled data often involves substantial financial and time costs, along with risks of label noise and inaccuracies due to manual annotation. In the context of fraud detection, such as credit card
Robert K. L. Kennedy +2 more
doaj +1 more source
Digital Transformation of Payment Systems: Fraud Issues and Detection Prospects
The COVID-19 pandemic boosted digitalization in all areas of human activity, including finances. As a result, the problem of credit card fraud is particularly relevant today.
Abduragimova Tat'yana
doaj +1 more source
Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]
Sundaravadivel P +5 more
europepmc +1 more source
Enhancing credit card fraud detection using DBSCAN-augmented disjunctive voting ensemble. [PDF]
Ghalwash MA +3 more
europepmc +1 more source
Framework for Credit Card Fraud Detection Using Benefit-Based Learning and Periodic Features
Sooklal S, Hosein P.
europepmc +1 more source
Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach. [PDF]
Marazqah Btoush EAL +4 more
europepmc +1 more source
Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation. [PDF]
Albalawi T, Dardouri S.
europepmc +1 more source

