UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 11
November-2024
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:
JETIRGO06056


Registration ID:
550389

Page Number

525-532

Share This Article


Jetir RMS

Title

Identifying Credit Card Fraud with Supervised Learning Techniques

Abstract

Fraud is a set of illegal conditioning that are used to take plutocrat or property using false pretenses. With the arrival of ultramodern technological advances as well as the ultramodern dispatches roadways, credit card fraud has been rising mainly. Sale fraud using credit card is one of the growing issue in the world of finance. A huge fiscal loss has affected individualities using credit cards. One of the most successful ways to identify similar fraud is Machine literacy. Supervised literacy ways are extensively employed in credit card fraud discovery, they make use of the supposition that fraudulent patterns can be learned from an analysis of once deals. The task becomes gruelling, still, when it has to take account of changes in client geste and fraudsters’ capability to construct new fraud patterns.

Key Words

Random Forest, Class imbalance, Credit card fraud, Learning to Rank, Concept drift.

Cite This Article

"Identifying Credit Card Fraud with Supervised Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.525-532, November-2024, Available :http://www.jetir.org/papers/JETIRGO06056.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

"Identifying Credit Card Fraud with Supervised Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp525-532, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06056.pdf

Publication Details

Published Paper ID: JETIRGO06056
Registration ID: 550389
Published In: Volume 11 | Issue 11 | Year November-2024
DOI (Digital Object Identifier):
Page No: 525-532
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000321

Print This Page

Current Call For Paper

Jetir RMS