Comparative Analysis on Automated Detection of Credit Card Fraud-Reference-Cited by-同舟云学术

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Comparative Analysis on Automated Detection of Credit Card Fraud

Published:2023-11-01 Issue: Volume:118 Page:13-18
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
language:
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Author:

Bhatt Chandradeep¹,Singh Abhyuday Pratap¹,Chauhan Rahul²,Singh Teekam³,Baloni Dev⁴

Affiliation:

1. Graphic Era Hill University,CSE Department,Dehradun,India

2. Computer Science and Engineering Graphic Era Hill University,Dehradun,India

3. Computer Science and Engineering Graphic Era Deemed to be University,Dehradun,India

4. Computer Science and Engineering Quantum University,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390303.pdf?arnumber=10390303

Reference20 articles.

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

2. A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection

3. Detecting Credit Card Fraud Using Majority Voting-Based Machine Learning Approach

4. Credit Card Fraud Detection Using Convolutional Neural Networks

5. Credit card Fraud Detection based on Machine Learning Algorithms

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