Results 111 to 120 of about 139,322 (228)

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

Identity theft: do definitions still matter? [PDF]

Despite a statutory definition of identity theft, there is a continuing debate on whether differences among the financial frauds associated with identity theft warrant further distinction and treatment, not only by lenders and financial institutions but ...
Julia S. Cheney
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  

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

The Impact of Opt-In Privacy Rules on Retail Credit Markets: A Case Study of MBNA [PDF]

, 2003
U. S. privacy laws are increasingly moving from a presumption that consumers must object to ( opt out of) uses of personal data they wish to prohibit to a requirement that they must explicitly consent ( opt in ) to uses they wish to permit.
Cate, Fred H., Staten, Michael E.
core   +2 more sources

Explainable AI in Credit Card Fraud Detection: Interpretable Models and Transparent Decision-making for Enhanced Trust and Compliance in the USA

Journal of Computer Science and Technology Studies
Credit Card Fraud presents significant challenges across various domains, comprising, healthcare, insurance, finance, and e-commerce.  The principal objective of this research was to examine the efficacy of Machine Learning techniques in detecting credit
Md Rokibul Hasan, Sumon Gazi, N. Gurung
semanticscholar   +1 more source

Mining Bad Credit Card Accounts from OLAP and OLTP

, 2017
Credit card companies classify accounts as a good or bad based on historical data where a bad account may default on payments in the near future. If an account is classified as a bad account, then further action can be taken to investigate the actual ...
Eberle, William, Ghafoor, Sheikh Khaled, Islam, Sheikh Rabiul   +2 more
core   +1 more source

Synthesizing class labels for highly imbalanced credit card fraud detection data

Journal of Big Data
Acquiring labeled datasets often incurs substantial costs primarily due to the requirement of expert human intervention to produce accurate and reliable class labels.
Robert K. L. Kennedy, Flavio Villanustre, T. Khoshgoftaar, Zahra Salekshahrezaee   +3 more
semanticscholar   +1 more source

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

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