UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311432


Registration ID:
528400

Page Number

e214-e218

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Title

Credit Card Fraud Detection using Machine Learning and Deep Learning Framework

Abstract

The proliferation of digital transactions has led to an increase in credit card fraud, a critical challenge in the financial sector that necessitates sophisticated detection mechanisms. Machine Learning (ML) and Deep Learning (DL) frameworks have emerged as powerful tools in combating such fraudulent activities. These technologies enable the identification of fraudulent transactions by learning from vast amounts of transactional data, detecting patterns and anomalies that might indicate fraud. By leveraging algorithms that can adapt and improve over time, ML and DL models provide an evolving defense against the constantly changing tactics of fraudsters. The integration of these frameworks into fraud detection systems has proven to be highly effective, significantly reducing the rate of successful frauds and securing the integrity of the credit card transaction ecosystem. This abstract encapsulates the essence of using ML and DL for credit card fraud detection, highlighting their role in enhancing security measures in the financial industry.

Key Words

Machine Learning, Credit Card Fraud, Financial Implications, XGBoost, Anomaly Detection.

Cite This Article

"Credit Card Fraud Detection using Machine Learning and Deep Learning Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e214-e218, November-2023, Available :http://www.jetir.org/papers/JETIR2311432.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Credit Card Fraud Detection using Machine Learning and Deep Learning Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe214-e218, November-2023, Available at : http://www.jetir.org/papers/JETIR2311432.pdf

Publication Details

Published Paper ID: JETIR2311432
Registration ID: 528400
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: e214-e218
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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