Predicting automobile insurance fraud using classical and machine learning models
Insurance fraud claims have become a major problem in the insurance industry. Several investigations have been carried out to eliminate negative impacts on the insurance industry as this immoral act has caused the loss of billions of dollars. In this paper, a comparative study was carried out to ass...
Published in: | International Journal of Electrical and Computer Engineering |
---|---|
Main Author: | Nordin S.-Z.S.; Wah Y.B.; Haur N.K.; Hashim A.; Norimah R.; Jalil N.A. |
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183879321&doi=10.11591%2fijece.v14i1.pp911-921&partnerID=40&md5=c99e8cbe137f99f5b093dd96d54d97ac |
Similar Items
-
An evaluation of nature-inspired optimization algorithms and machine learning classifiers for electricity fraud prediction
by: Kamaruddin A.S.; Hadrawi M.F.; Wah Y.B.; Aliman S.
Published: (2023) -
Life Insurance Prediction and Its Sustainability Using Machine Learning Approach
by: Shamsuddin S.N.; Ismail N.; Nur-Firyal R.
Published: (2023) -
PERFORMANCE ANALYSIS OF PREDICTIVE FUNCTIONAL CONTROL FOR AUTOMOBILE ADAPTIVE CRUISE CONTROL SYSTEM
by: Zainuddin M.A.-S.; Abdullah M.; Ahmad S.; Uzair M.S.; Baidowi Z.M.P.A.
Published: (2023) -
Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles
by: Abdullah M.N.; Wah Y.B.
Published: (2024) -
An automobile security protocol: Side-channel security against timing and relay attacks
by: Isa M.A.M.; Hashim H.; Adnan S.F.S.; Marbukhari N.; Mohamed N.N.
Published: (2017)