This study proposes a framework for fraud detection in the auto insurance industry by using
predictive models. The feature selection is performed utilizing a publicly available car …

In current era, people are influenced with various types of insurance such as health
insurance, automobile insurance, property insurance and travel insurance, due to the …

Purpose The purpose of this paper is to survey the automobile insurance fraud detection
literature in the past 31 years (1990–2021) and present a research agenda that addresses …

The insurance industries consist of more than thousand companies in worldwide. And
collect more than one trillions of dollars premiums in each year. When a person or entity …

The paper presents fraud detection method to predict and analyze fraud patterns from data.
To generate classifiers, we apply the Naïve Bayesian Classification, and Decision Tree …

The objective of this paper is to propose a novel deep learning methodology to gain
pragmatic insights into the behavior of an insured person using unsupervised variable …

This paper evaluated fraud prediction in property insurance claims using various machine
learning models based on real-world data from a major Brazilian insurance company. The …

Fraud is a significant issue for insurance companies, generating much interest in machine
learning solutions. Although supervised learning for insurance fraud detection has long …

Abstract Employing Machine Learning algorithms to identify health insurance fraud is an
application of Artificial Intelligence in Healthcare. Insurance fraud spuriously inflates the cost …

Claims fraud is an increasingly vexing problem confronting the insurance industry. In this
empirical study, we apply Kohonen's Self-Organizing Feature Map to classify automobile …