INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A Review of Credit Card Fraud Detection using Machine Learning
Authors Name:
Prof. Sumit Sharma
, Deepak Gwale
Unique Id:
IJSDR2307083
Published In:
Volume 8 Issue 7, July-2023
Abstract:
Credit card fraud has become a significant concern in the financial industry, resulting in substantial financial losses for both financial institutions and cardholders. To mitigate this issue, machine learning algorithms have been widely applied in credit card fraud detection systems. This paper provides a comprehensive review of the existing literature on credit card fraud detection using machine learning techniques. The aim is to analyze and evaluate the effectiveness of different machine learning algorithms and methodologies employed in this domain. The review covers various aspects such as dataset preprocessing, feature selection, algorithm selection, and performance evaluation metrics. Additionally, emerging trends and challenges in credit card fraud detection are discussed, providing insights for future research directions.
"A Review of Credit Card Fraud Detection using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.584 - 589, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307083.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2307083
Registration ID:207777
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 584 - 589
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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