A Novel Approach for Credit Card Fraud Detection using Decision Tree and Random Forest Algorithms-Reference-Cited by-同舟云学术

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A Novel Approach for Credit Card Fraud Detection using Decision Tree and Random Forest Algorithms

Published:2021-02-04 Issue: Volume: Page:
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Container-title:2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
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Author:

Dileep M R,Navaneeth A V,Abhishek M

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9388249/9388373/09388431.pdf?arnumber=9388431

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revolutionizing Risk Management AI and ML Innovations in Financial Stability and Fraud Detection;Advances in Finance, Accounting, and Economics;2024-08-30

2. FedGAT-DCNN: Advanced Credit Card Fraud Detection Using Federated Learning, Graph Attention Networks, and Dilated Convolutions;Electronics;2024-08-11

3. The Foundations of AI and ML in Business;Advances in Computational Intelligence and Robotics;2024-07-22

4. Fault Diagnosis of Bearings Based on the Fusion of 1D-CNN and Random Forest Algorithm;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

5. Secure UPI: Machine Learning-Driven Fraud Detection System for UPI Transactions;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

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