Research ArticleAdvances in Machine Learning, IoT and Data Security
Volume 1, Issue 2 · 15 January 2025
ISSN: 3067-5529 · E-ISSN: 3067-5545
Big Data Analytics and Its Usage on Financial Fraud Detection in the USA
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Md Hossain Jamil:Department of Information Technology, Westcliff University, Irvine, CA 92614, USA
Shafiqul Islam Talukder:Department of Information Technology, Westcliff University, Irvine, CA 92614, USA
Arif Hosen:Department of Information Technology, Westcliff University, Irvine, CA 92614, USA
Yeasin Arafat:Department of Information Technology, Westcliff University, Irvine, CA 92614, USA
Hasan Mahmud Sozib:Department of Information Technology, Westcliff University, Irvine, CA 92614, USA
Article ID:amlid25001
Abstract
Big data analytics has emerged as a transformative tool in the financial services industry, particularly in the United States, where institutions manage trillions of dollars in daily transactions. This study explores how financial institutions leverage big data analytics for risk management, with a specific focus on fraud detection and prevention. By integrating advanced
Keywords
Financial Fraudidentify anomaliesand predict Fraud DetectionMachine LearningUSAmachine learning models like
Article Information
Received
1 December 2024
Accepted
5 January 2025
Published
15 January 2025
ISSN
3067-5529
E-ISSN
3067-5545
Article Type
Research Article
Open Access
Yes – Open Access