Results 101 to 110 of about 2,431 (186)

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

Machine Learning Credit Card Fraud Detection System

, 2023
The Credit Card Fraud Detection system is a web-based fraud detector tool that can be used to flag potential fraud cases in daily transactions. It is vital that credit card companies are able to spot fraudulent transactions using the credit card so that ...
Onyema, Juliet Chinazo, Benson-Emenike, Mercy, Betrand, Chidi Ukamaka   +2 more
core  

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

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

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

Enhanced artificial intelligence-based cybersecurity for the detection of cyber fraud in the banking industry

The financial and banking industries have acknowledged the significance of creating credit card cyber fraud detection systems for a considerable period.
A. Q. Marazqah Btoush, Eyad
core   +1 more source

Toward an Efficient Credit Card Fraud Detection

Credit card fraud is a type of financial crime involving the unlawful use of a credit card for financial advantages. It can be obtained through unethical behaviors such as phishing, skimming devices, and data breaches.
Alshamsi, Mahra, Alneyadi, Aryam, Albaloushi, Mariam, Megrez, Nasreddine, Lamaazi, Hanane, Alneyadi, Mariam   +5 more
core   +1 more source

An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection

Big Data and Cognitive Computing
Credit card fraud remains a major cause of financial loss around the world. Traditional fraud detection methods that rely on supervised learning often struggle because fraudulent transactions are rare compared to legitimate ones, leading to imbalanced ...
John Adejoh, Nsikak Owoh, Moses Ashawa, Salaheddin Hosseinzadeh, Alireza Shahrabi, Salma Mohamed   +5 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

Credit Card Fraud Detection Using Machine Learning

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