Results 101 to 110 of about 34,803 (186)

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

Hybrid Undersampling and Oversampling for Handling Imbalanced Credit Card Data

IEEE Access
Recent developments in the use of credit cards for a range of daily life activities have increased credit card fraud and caused huge financial losses for individuals and financial institutions. Most credit card frauds are conducted online through illegal
Maram Alamri, Mourad Ykhlef
doaj   +1 more source

The role of diversity and ensemble learning in credit card fraud detection. [PDF]

Adv Data Anal Classif, 2022
Paldino GM, Lebichot B, Le Borgne YA, Siblini W, Oblé F, Boracchi G, Bontempi G.   +6 more
europepmc   +1 more source

Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection. [PDF]

Comput Intell Neurosci, 2023
Prabhakaran N, Nedunchelian R.
europepmc   +1 more source

Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles

AppliedMath
Credit card fraud detection remains a major challenge due to severe class imbalance and the constantly evolving nature of fraudulent behaviors. To address these challenges, this paper proposes a hybrid framework that integrates a Variational Autoencoder (
Ibomoiye Domor Mienye, Ebenezer Esenogho, Cameron Modisane   +2 more
doaj   +1 more source

RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. [PDF]

Sensors (Basel), 2022
Padhi BK, Chakravarty S, Naik B, Pattanayak RM, Das H.   +4 more
europepmc   +1 more source

Hyphatia: A Card-Not-Present Fraud Detection System Based on Self-Supervised Tabular Learning

IEEE Open Journal of the Computer Society
In order to conduct credit card fraud, having only the payment card information of the victim it is possible to fake its identity and buy on e-commerce platforms.
Josue Genaro Almaraz-Rivera, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Francisco Javier MunOz, Brian David Martinez   +4 more
doaj   +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
Ahmad H, Kasasbeh B, Aldabaybah B, Rawashdeh E.   +3 more
europepmc   +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  

Machine Learning-Based Data Generative Techniques for Credit Card Fraud-Detection Systems

Mathematics
This study investigates the pressing issue of credit card fraud in the context of evolving e-commerce platforms and the necessity for improved fraud detection mechanisms.
Xiaomei Feng, Song-Kyoo Kim
doaj   +1 more source