CREDIT CARD FRAUD ANALYSIS USING PREDICTIVE MODELING

Authors

  • T.Rajender Author
  • Umme Aiman Author
  • Sai Likith Author
  • Manikanta Author
  • Shashank Author
  • Dr.V .Ramdas Author

Abstract

This project focuses on developing an effective system for detecting fraudulent transactions within the realm of credit card usage. With the increasing reliance on internet technology, credit card transactions have seen a significant surge, but unfortunately, so has the incidence of credit card fraud. This poses substantial risks across various sectors, including government, corporate organizations, and the finance industry.To address this challenge, the project leverages advanced computational methodologies tailored for credit card fraud detection. Although numerous fraud detection solutions and software exist, there's a continuous need for innovation to stay ahead of evolving fraudulent tactics.

Published

2024-01-01

Issue

Section

Articles

How to Cite

CREDIT CARD FRAUD ANALYSIS USING PREDICTIVE MODELING. (2024). International Journal of Food and Nutritional Sciences, 13(3), 278-286. https://www.ijfans.org/index.php/Journal/article/view/1503

Most read articles by the same author(s)

1 2 3 4 > >>