Credit Card Fraud Detection using Machine Learning Techniques: Incorporating Data Analytics and Data Modelling

Registration ID: IJNRD_221983

Published ID: IJNRD2405536

DOI: Click Here to Get

Arushi Srivastava , Anish Anand , Prachi Kushwaha , S Sanskar Verma , Pawan Kumar

Credit Card Fraud detection, Fraud detection, Fraudulent transactions, Logistic Regression, Neural Network, Bayesian Network.

Credit card fraud is an escalating issue in today's financial market. The rate of fraudulent activities has rapidly increased in recent years, leading to significant financial ramifications, detriment to many organizations, companies, and government agencies. The objective of this paper is to identify the fraudulent transactions made by credit cards by the use of machine learning techniques, i.e., Logistic Regression model on a credit card transaction dataset to stop fraudsters from the unauthorized usage of customer's accounts.

Published Paper   E-Certificate

Arushi Srivastava, Anish Anand, Prachi Kushwaha, S Sanskar Verma, & Pawan Kumar (May-2024). Credit Card Fraud Detection using Machine Learning Techniques: Incorporating Data Analytics and Data Modelling. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), f347-f350. https://ijnrd.org/papers/IJNRD2405536.pdf

Volume 9 Issue 5, May-2024

Pages : f347-f350

Paper Reg. ID: IJNRD_221983

Published Paper Id: IJNRD2405536

Downloads: 000121976

Research Area: Computer Science & Technology 

Country: Raipur, Chhattisgarh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405536.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405536

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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