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

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

"Credit Card Fraud Detection using Machine Learning Techniques: Incorporating Data Analytics and Data Modelling", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.f347-f350, May-2024, Available :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: 000121126

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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