Insurance Fraud Prediction: An analysis Using Supervised and Unsupervised Machine Learning-Reference-Cited by-同舟云学术

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Insurance Fraud Prediction: An analysis Using Supervised and Unsupervised Machine Learning

Published:2023-12-14 Issue: Volume:3 Page:1-7
ISSN:
Container-title:2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)
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Author:

Saddi Venkata Ramana¹,Gnanapa Bhagawan²,Boddu Swetha³,Gupta Ketan⁴,Logeshwaran J.⁵

Affiliation:

1. ACE American Insurance – Chubb Group,Technology Lead,Raleigh,NC,USA

2. AI/ML Architect, SmartTrak AI, Holly Springs,NC,USA

3. Perficient Inc,Raleigh,NC,USA

4. University of The Cumberlands,Dept. of Information Technology,Williamsburg,KY,USA

5. Sri Eshwar College of Engineering,Department of ECE,Coimbatore,Tamil Nadu,INDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531298/10531299/10531397.pdf?arnumber=10531397

Reference25 articles.

1. Prediction of Insurance Fraud Detection using Machine Learning Algorithms

2. Detecting insurance fraud using supervised and unsupervised machine learning

3. Unsupervised Insurance Fraud Prediction Based on Anomaly Detector Ensembles

4. Insurance fraud detection: Evidence from artificial intelligence and machine learning

5. Building prediction models and discovering important factors of health insurance fraud using machine learning methods

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