A Survey on Machine Learning Techniques for Insurance Fraud Prediction
Komal S. Patil · Helix · 2018
The fraudulent activities are increasing day by day with increase in technology in insurance sector.These fraud cases make shoddy impact on socio-economical system.This paper presents a detail survey of machine learning techniques used in insurance fraud prediction.This paper has disclosed traditional machine learning techniques like supervised and unsupervised learning and also some contemporary methods such as hybrid and ensemble leaning.The approach of the problem changes with the change in dataset hence this paper aims to provide an organized overview of the fraud prediction techniques based on the type of training data provided to the machine learning model.