Paper Title

Realtime Fraud Detection Analysis Using Machine Learning.

Article Identifiers

Registration ID: IJNRD_210402

Published ID: IJNRD2312063

DOI: Click Here to Get

Authors

Omkar Binage , Samueal D'Souza , Anushka Bhagwat , Sameeksha Hedau

Keywords

Abstract

This collaborative review paper amalgamates insights from various studies on real-time fraud detection using machine learning in the context of online transactions. Focusing on credit card fraud, it explores innovative approaches such as clustering cardholders based on transaction amounts and employing a sliding window strategy to extract behavioral patterns. Additionally, the review addresses the challenges of network transactions, proposing fraud detection algorithms with impressive AUC values.In the realm of online banking fraud, the paper introduces models extending classical machine learning methods, incorporating economic optimization and a risk model. Real-world testing demonstrates significant reductions in expected financial losses, surpassing benchmarks. This unified perspective underscores the complexities, ongoing challenges, and potential solutions in the dynamic landscape of fraud detection. The collaborative efforts presented herein provide a holistic understanding of the intricacies involved in combating fraud systematically and economically.

How To Cite (APA)

Omkar Binage, Samueal D'Souza, Anushka Bhagwat, & Sameeksha Hedau (December-2023). Realtime Fraud Detection Analysis Using Machine Learning.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), a495-a499. https://ijnrd.org/papers/IJNRD2312063.pdf

Issue

Volume 8 Issue 12, December-2023

Pages : a495-a499

Other Publication Details

Paper Reg. ID: IJNRD_210402

Published Paper Id: IJNRD2312063

Downloads: 000121980

Research Area: Computer Science & Technology 

Country: PUNE, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312063.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312063

About Publisher

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

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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