Horse race analysis in credit card fraud—deep learning, logistic regression, and Gradient Boosted Tree-Reference-Cited by-同舟云学术

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Horse race analysis in credit card fraud—deep learning, logistic regression, and Gradient Boosted Tree

Published:2017-04 Issue: Volume: Page:
ISSN:
Container-title:2017 Systems and Information Engineering Design Symposium (SIEDS)
language:
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Author:

Rushin Gabriel,Stancil Cody,Sun Muyang,Adams Stephen,Beling Peter

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7934469/7937692/07937700.pdf?arnumber=7937700

Cited by 54 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. Environmental modeling of impacts of agricultural land changes using Markov chain and machine learning (case study: Shanghai metropolis, China);International Agrophysics;2024-08-29

2. Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach;Applied Sciences;2024-08-21

3. Supply chain fraud prediction with machine learning and artificial intelligence;International Journal of Production Research;2024-06-07

4. NodeGuard: A Highly Efficient Two-Party Computation Framework for Training Large-Scale Gradient Boosting Decision Tree;2024 IEEE Security and Privacy Workshops (SPW);2024-05-23

5. A Distributed Knowledge Distillation Framework for Financial Fraud Detection Based on Transformer;IEEE Access;2024

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