Credit Card Fraud Detection Using Non-Overlapped Risk Based Bagging Ensemble (NRBE)-Reference-Cited by-同舟云学术

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Credit Card Fraud Detection Using Non-Overlapped Risk Based Bagging Ensemble (NRBE)

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)
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Author:

Akila S.,Reddy U. Srinivasulu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8501353/8523822/08524418.pdf?arnumber=8524418

Cited by 5 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. Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review;IEEE Access;2024

2. Credit Card Fraud Detection Using Machine Learning Techniques;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

3. Fraud Detection and Identification in Credit Card Based on Machine Learning Techniques;Wasit Journal of Computer and Mathematics Science;2023-09-30

4. Credit Card Fraud Detection Using Machine Learning Techniques;2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS);2023-04-05

5. Credit Card Fraud Detection Using Meta-classifiers Consisting of Semi-supervised and Supervised Algorithms;Algorithms for Intelligent Systems;2020

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