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Credit Card Fraud Detection Using Hybrid Machine Learning Algorithm

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Credit Card Fraud Detection Using Hybrid Machine Learning Algorithm


Tripti Gautam | Ghanshyam Sahu | Lalit Kumar P. Bhiaya



Tripti Gautam | Ghanshyam Sahu | Lalit Kumar P. Bhiaya "Credit Card Fraud Detection Using Hybrid Machine Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6, December 2023, pp.274-279, URL: https://www.ijtsrd.com/papers/ijtsrd60102.pdf

As we know and living in the era of digital world, Credit card fraud is increasing rapidly by transactions of unauthorized or any fraudulent use of someone else information of credit card to purchase and obtain benefits of financial. The victims of credit card fraud may have severe repercussions. Financial losses, harm to credit scores, and the trouble of dealing with unauthorized transactions can all arise from it. Secure your card information, keep a close eye on your account activity, and alert your card issuer right away to any odd transactions if you want to prevent credit card theft. To help combat fraud, many financial institutions additionally provide extra security features like two-factor authentication and fraud detection systems. To resolve these problem we developed a system of Credit Card Fraud detection by hybrid techniques of machine learning which combines supervised and unsupervised methods to improve the system of fraud detection. In this paper we are using machine learning algorithms like K Nearest Neighbor, Logistic Regression and XGBoost model and we had made a comparison of accuracy score with other different models by using the data of European Cardholders 2013, by that data we had make comparison and decided that which model is best for defining the fraud system of credit card.

Credit Card, Fraud Detection, Fraud Detection Framework, Supervised and Unsupervised Techniques


IJTSRD60102
Volume-7 | Issue-6, December 2023
274-279
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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