Results 91 to 100 of about 110,706 (190)

Credit Card Fraud Detection Model Based on Machine Learning [PDF]

ITM Web of Conferences
Credit card fraud can be defined as a situation in which an individual uses another person's credit card for an unauthorized transaction and neither the cardholder nor the card issuer is aware of the action.
Jia Feiran
doaj   +1 more source

Context-aware credit card fraud detection [PDF]

, 2019
La fraude par carte de crédit est devenue un problème majeur dans le secteur des paiements électroniques. Dans cette thèse, nous étudions la détection de fraude basée sur les données transactionnelles et abordons plusieurs de ces défis complexes en utilisant des méthodes d'apprentissage automatique visant à identifier les transactions frauduleuses qui ...
openaire   +2 more sources

Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

IEEE Access
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

Fast Cash, Less Filling: Refund Anticipation Loans in North Carolina [PDF]

, 2009
This paper reveals the use of refund anticipation loans, also known as RALs, from 2004 to 2006 in North Carolina. It highlights zip codes with the highest concentration of RAL use.
Adam Rust
core  

THE CREDIT CARD FRAUD: INFLATION, CULTURE OF BORROWING AND RISING ECONOMIC INEQUALITY [PDF]

The use of credit card has become a fashion and a symbol of social status, but very few people understand the problems related with its use. Credit card is a tool of the practice of fractional reserve banking of today’s banking industry. This paper tries
Madhusudan Raj
core  

Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection

Радіоелектронні і комп'ютерні системи
The subject matter of this article is enhancing credit card fraud detection systems by exploring the impact of oversampling rates and ensemble methods with diverse feature selection techniques.
Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini   +3 more
doaj   +1 more source

Novel Machine Learning Based Credit Card Fraud Detection Systems

Mathematics
This research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech.
Xiaomei Feng, Song-Kyoo Kim
doaj   +1 more source

The economics of payment finality [PDF]

Payment finality is critical to decentralized exchange. By specifying how the transfer of one type of claim extinguishes another, the rules governing finality minimize opportunities for default along credit chains and allocate other risks.
Charles M. Kahn, William Roberds
core  

A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection

Technologies
Credit card fraud detection is a critical challenge in the financial industry, with substantial economic implications. Conventional machine learning (ML) techniques often fail to adapt to evolving fraud patterns and underperform with imbalanced datasets.
Ibomoiye Domor Mienye, Theo G. Swart
doaj   +1 more source

Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression. [PDF]

Sensors (Basel), 2023
Chung J, Lee K.
europepmc   +1 more source