Detecting Credit Card Frauds Using Isolation Forest And Local Outlier Factor - Analytical Insights-Reference-Cited by-同舟云学术

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Detecting Credit Card Frauds Using Isolation Forest And Local Outlier Factor - Analytical Insights

Published:2022-01-20 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Zadafiya Narendra¹,Karasariya Jenish¹,Kanani Parthkumar²,Nayak Amit¹

Affiliation:

1. Devang Patel Institute of Advance Technology and Research, Charotar University of Science and Technology,Faculty of Technology and Engineering,Department of Computer Engineering,India

2. Chandubhai S Patel Institute of Technology, Charotar University of Science and Technology,Faculty of Technology and Engineering,Department of Computer Engineering,Changa, Anand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716541.pdf?arnumber=9716541

Reference28 articles.

1. Credit Card Fraud Detection;das;Methods,2019

2. Credit Card Fraud Detection using Local Outlier Factor and Isolation Forest

3. Analysis of Credit Card Fraud Detection Using Fusion Classifiers

4. Survey Paper on Credit Card Fraud Detection;bansal;International Journal of Advanced Research in Computer Engineering & Technology (IJARCET),2014

Cited by 1 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. Fraud Transaction Detection For Anti-Money Laundering Systems Based On Deep Learning;Journal of Emerging Computer Technologies;2024-03-10

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