Financial fraud detection using naive bayes algorithm in highly imbalance data set-Reference-Cited by-同舟云学术

Financial fraud detection using naive bayes algorithm in highly imbalance data set

Published:2021-07-04 Issue:5 Volume:24 Page:1559-1572
ISSN:0972-0529
Container-title:Journal of Discrete Mathematical Sciences and Cryptography
language:en
Short-container-title:Journal of Discrete Mathematical Sciences and Cryptography

Author:

Gupta Amit¹,Lohani M. C.¹,Manchanda Mahesh¹

Affiliation:

1. Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun 248002, Uttarakhand, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720529.2021.1969733

Reference23 articles.

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

2. Maes, S., Tuyls, K., Vanschoenwinkel, B. & Manderick, B. (2002, January). Credit card fraud detection using Bayesian and neural networks. In Proceedings of the 1st international naiso congress on neuro fuzzy technologies (pp. 261-270).

3. Raj, S. B. E. & Portia, A. A. (2011, March). Analysis on credit card fraud detection methods. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET) (pp. 152-156). IEEE.

4. null

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