Design and Implementation of a Web-Based Credit Card Fraud Detection System-Reference-Cited by-同舟云学术

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Design and Implementation of a Web-Based Credit Card Fraud Detection System

Published:2024-04-02 Issue: Volume: Page:1-10
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
language:
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Author:

Adesola Falade¹,Christiana Obagbuwa Ibidun²,Aduragba Adebiyi A.³,Adeyinka Omirinlewo⁴

Affiliation:

1. McPherson University,Department of Computer,Seriki Sotayo,Ogun State

2. Sol Platjee University,Department of Computer and Information Technology,Kimberley,South Africa

3. Durban University of Technology,Department of Electrical Power Engineering,Durban,South Africa

4. Trinity University,Department of Computer and Information Sciences,Yaba, Lagos,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630370.pdf?arnumber=10630370

Reference17 articles.

1. Fraud detection system: A survey

2. A survey of machine-learning and nature-inspired based credit card fraud detection techniques

3. Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

4. Detection of Fraud Transactions Using Recurrent Neural Network during COVID-19

5. AutoEncoder and LightGBM for Credit Card Fraud Detection Problems

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