UGC Approved Journal no 63975(19)

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

Volume 10 Issue 1
January-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2301059


Registration ID:
506735

Page Number

a431-a435

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Title

CREDIT CARD EXTORTION DETECTION USING R

Abstract

Credit must card organizations can distinguish false Mastercard exchanges with the goal that clients are not charged for things that they didn't buy. Such issues can be handled with Data Science and its significance, alongside Machine Learning, couldn't possibly be more significant. This project means to show the displaying of an informational index utilizing AI with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem incorporates displaying past credit card exchanges with the information of the ones that ended up being extortion. This model is then used to perceive whether a new exchange is false or not. Our goal here is to identify 100 percent of the false exchanges while limiting the wrong misrepresentation arrangements. Charge card Fraud Detection is an average example of arrangement. In this cycle, we have centered on breaking down and pre-handling informational collections as well as the organization of different abnormality identification calculations, for example, Neighborhood Outlier Factor and Isolation Forest calculation on the PCA changed Credit Card Transaction information.

Key Words

Credit card, Data science, R programming

Cite This Article

"CREDIT CARD EXTORTION DETECTION USING R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.a431-a435, January-2023, Available :http://www.jetir.org/papers/JETIR2301059.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 EXTORTION DETECTION USING R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppa431-a435, January-2023, Available at : http://www.jetir.org/papers/JETIR2301059.pdf

Publication Details

Published Paper ID: JETIR2301059
Registration ID: 506735
Published In: Volume 10 | Issue 1 | Year January-2023
DOI (Digital Object Identifier):
Page No: a431-a435
Country: Thoothukudi , Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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