Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS)
Credit card fraud is a growing problem nowadays and it has escalated during COVID-19 due
to the authorities in many countries requiring people to use cashless transactions. Every …
to the authorities in many countries requiring people to use cashless transactions. Every …
[PDF][PDF] Credit Card Fraud Detection Challenges and Solutions: A Review.
Credit card fraud has become an increasing problem due to the growing reliance on
electronic payment systems and technological advances that have improved fraud …
electronic payment systems and technological advances that have improved fraud …
WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims
L Settipalli, GR Gangadharan - Expert Systems with Applications, 2023 - Elsevier
Fraud is an aggravating problem in the health insurance system, causing a substantial
increase in the cost of medical services. Many models have been developed using data …
increase in the cost of medical services. Many models have been developed using data …
[PDF][PDF] Fraud detection in ecommerce payment systems: The role of predictive ai in real-time transaction security and risk management
R Khurana - International Journal of Applied Machine Learning …, 2020 - researchgate.net
Ecommerce platforms need to assure transaction security in the face of rising challenges
and fraud attempts that are perilous for business and consumers alike. Predictive AI has …
and fraud attempts that are perilous for business and consumers alike. Predictive AI has …
[PDF][PDF] Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation
L Theodorakopoulos, A Theodoropoulou, F Zakka… - 2024 - preprints.org
This paper presents a comprehensive study on applying machine learning (ML) techniques
for realtime credit card fraud detection. With the increasing prevalence of credit card fraud …
for realtime credit card fraud detection. With the increasing prevalence of credit card fraud …
Evaluating the computational advantages of the Variational Quantum Circuit model in Financial Fraud Detection
Home banking and digital payments diffusion has greatly increased in recent years. As a
result, fraud has also dramatically grown, resulting in the loss of billions of dollars worldwide …
result, fraud has also dramatically grown, resulting in the loss of billions of dollars worldwide …
Online banking fraud detection: A comparative study of cases from South Africa and Spain
J Phiri, T Lavhengwa, MA Segooa - South African Journal of …, 2024 - journals.co.za
Background The banking sector provides online banking to offer their customers convenient
and easy access to banking services. As most banking services are nowadays performed …
and easy access to banking services. As most banking services are nowadays performed …
A convolutional neural network model for credit card fraud detection
Nowadays, online transactions through various ecommerce platforms are becoming more
prevalent, and Credit Card (CC) is significantly used in various online transactions …
prevalent, and Credit Card (CC) is significantly used in various online transactions …
A Multi-Modal Profiling Fraud-Detection System for Capturing Suspicious Airline Ticket Activities
MT Aras, MA Guvensan - Applied Sciences, 2023 - mdpi.com
Although the most widely studied datasets in fraud-detection systems belong to the banking
sector, the aviation industry is susceptible to fraud activities that seriously harm airline …
sector, the aviation industry is susceptible to fraud activities that seriously harm airline …
A comparison of data balancing techniques for credit card fraud detection using neural network
AK Uttam, G Sharma - 2021 Fifth International Conference on I …, 2021 - ieeexplore.ieee.org
This research study has employed an unequalled credit card dataset and evaluated several
approaches of data balancing by using a basic neural network-based model with only one …
approaches of data balancing by using a basic neural network-based model with only one …