UGC Approved Journal no 63975(19)

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2107419


Registration ID:
312392

Page Number

d249-d252

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Title

Credit Card Fraud Detect System using machine learning

Abstract

Credit card is used to buy goods with the help of virtual card for online transaction. In this mode, fraudulent transactions may not be detected This is because the attacker already steals a credit card. Attackers only want small information for fraudulent transactions (secure code, card number, expiration date).

Key Words

fraud, machine learning

Cite This Article

"Credit Card Fraud Detect System using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d249-d252, July-2021, Available :http://www.jetir.org/papers/JETIR2107419.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 Detect System using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd249-d252, July-2021, Available at : http://www.jetir.org/papers/JETIR2107419.pdf

Publication Details

Published Paper ID: JETIR2107419
Registration ID: 312392
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: d249-d252
Country: Bangalore, Karnataka, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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