DETECTION OF CREDIT CARD FRAUDS WITH MACHINE LEARNING SOLUTIONS: AN EXPERIMENTAL APPROACH
Purpose – propose an experimental way to create ML solutions to the problem of detecting credit card fraud. Method or methodology of the work: the article uses machine learning (ML) and data mining methods Results: the paper showed that machine learning (ML) and data mining techniques are effe...
Main Authors: | Courage Mabani, Andrey A. Tuskov, Elizaveta V. Shchanina |
---|---|
Format: | Article |
Language: | English |
Published: |
Science and Innovation Center Publishing House
2022-10-01
|
Series: | Наука Красноярья |
Subjects: | |
Online Access: | http://kras-science.ru/jour/index.php/nk/article/view/121 |
Similar Items
-
MANAGING CREDIT AND CARD FRAUD PHENOMENA IN THE BANKING SYSTEM OF THE REPUBLIC OF SERBIA
by: Nikola Stefanović, et al.
Published: (2024-03-01) -
Fraud Prediction in Movie Theater Credit Card Transactions using Machine Learning
by: Areej Alshutayri
Published: (2023-06-01) -
Detection of Credit Card Fraud with Machine Learning Methods and Resampling Techniques
by: Moh. Badris Sholeh Rahmatullah, et al.
Published: (2022-12-01) -
Enhanced Credit Card Fraud Detection Model Using Machine Learning
by: Noor Saleh Alfaiz, et al.
Published: (2022-02-01) -
Application of the automated teller machine (ATM) card digit validation algorithm as a credit card fraud detection system
by: Khairul Muttaqin, et al.
Published: (2022-06-01)