Accurate Credit Card Fraudulent Dataset using Logistics Regression Compared with Random Forest-Reference-Cited by-同舟云学术

Accurate Credit Card Fraudulent Dataset using Logistics Regression Compared with Random Forest

Published:2022-02-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Business Analytics for Technology and Security (ICBATS)
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Author:

Mahalaxmi K.Vijaya Kanaka¹,Rekha K. Sashi¹

Affiliation:

1. Saveetha University,Dept. of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758922/9758923/09759017.pdf?arnumber=9759017

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3. Molecular structure and vibrational spectra of 2,6-bis(benzylidene)cyclohexanone: A density functional theoretical study

4. Fraudulent Transaction Detection in Credit Card by Applying Ensemble Machine Learning techniques

5. Performance evaluation of class balancing techniques for credit card fraud detection

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