Research Topic

Insurance Fraud

4 Publications Matching this Keyword

Impact Factor
7.883
Insurance Fraud

4 Matching Papers


All Categories
Publish Your Paper

Submit your research manuscript for fast peer review and publication.

Submit Paper

Papers tagged with "Insurance Fraud"

Showing page 1 of 1
Vol 12, Issue 1 (January 2026) MACHINE LEARNING

OPTIMIZED PREDICTIVE MODEL FOR INSURANCE CLAIM FRAUD DETECTION AND ANALYSIS USING MACHINE LEARNING

Insurance Fraud Causes Significant Financial Losses And Is Difficult To Detect Due To Its Similarity To Legitimate Claims. The Growing Volume Of Data And Increasing Fraud Complexity Make Automated Detection Essential. Machine Learning Provi...

Shanmugapriya S, Mr.K.Mahadevan
Vol 11, Issue 7 (July 2025) CSE(DS)

Fraud Detection And Analysis For Insurance Claims Using Machine Learning

Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...

Dr. M. Kishore Kumar, Golla Madhu, Guguloth Arun Kumar, Bhukya Dilip Kumar
Vol 11, Issue 6 (June 2025) Fraud Detection In Insurance

ML Powered Insurance Fraud Detection With Explainability

One Major Issue Facing The Banking Industry Is Insurance Fraud., Leading To Substantial Monetary Losses And Increased Premiums For Honest Policyholders. Traditional Rule-based Fraud Detection Systems Struggle To Adapt To Evolving Fraudulent...

Nilesh Gupta, Shalini Gupta
Vol 11, Issue 1 (January 2025) COMPUTER SCIENCE

ARTIFICIAL INTELLIGENCE IN FRAUD DETECTION : TECHNIQUES, APPLICATIONS AND CHALLENGES

Fraud Detection Has Become An Increasingly Important Field As Digital Transactions Grow And Fraud Tactics Become More Sophisticated. Traditional Fraud Detection Methods, Though Effective, Struggle To Keep Up With The Evolving Nature Of Frau...

Jai Singh Kacchawa, Mr. Gopal Khorwal, Ms. Reena Sharma

Submit Your Paper to IJSART

Join the global research community with IJSART. Submit your paper, share your work, and gain worldwide recognition!