UGC Approved Journal no 63975(19)

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Published in:

Volume 8 Issue 12
December-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2112310


Registration ID:
318085

Page Number

d68-d71

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Title

CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING ALGORITHMS

Abstract

Financial fraud is a growing problem with long-term consequences in the financial industry and while many techniques have been discovered to solve this problem faced by various companies, data mining has been successfully applied to finance databases to automate the analysis of huge volumes of complex data. In the identification of credit card fraud in online transactions, data mining has also played a significant role. Fraudulent transactions detection is a data mining problem. It becomes difficult for two reasons: first, normal and fraudulent behavioral patterns vary often, and second, credit card fraud data sets are extremely biased. This paper investigates and checks the performance of Decision Tree, Random Forest, DNN, DNN with SMOTE, Logistic Regression, and Logistic Regression with SMOTE on highly skewed credit card fraud data. European cardholders provided a credit card transaction dataset with 284,786 transactions. Both raw and pre-processed data are used in these procedures. The accuracy, sensitivity, and precision of the methodologies are used to assess their effectiveness. The results show that Classifiers such as Decision Tree, Random Forest, Logistic Regression, and DNN, DNN with SMOTE, have the best accuracy.

Key Words

Credit Card Fraud, Decision tree, random forest, DNN, DNN with SMOTE

Cite This Article

"CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.d68-d71, December-2021, Available :http://www.jetir.org/papers/JETIR2112310.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 ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppd68-d71, December-2021, Available at : http://www.jetir.org/papers/JETIR2112310.pdf

Publication Details

Published Paper ID: JETIR2112310
Registration ID: 318085
Published In: Volume 8 | Issue 12 | Year December-2021
DOI (Digital Object Identifier):
Page No: d68-d71
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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