The article proposes a process for claims assessment in car insurance, which makes it
possible to calculate the fraud rate on the annual set of claims using a reduced set of …

Nowadays, fraud is a major problem facing the insurance industry that Big Data and
Machine Learning are trying to solve. This paper deals with the evaluation of the …

The past few years have seen an increase in fraud cases for all types of claims at insurance
companies operating as commercial enterprises. Since the amount fraudulently claimed is …

This study focuses on personal automobile policies underwritten. Its aim is to provide
decision support and to apply new models with good predictive performance and high …

This thesis focuses on automotive fraudulent claims detection, a particular Property and
Casualty (P&C) insurance product. By analyzing the customer's information, we try to define …

The number of policyholders involved in fraudulent activities has increased dramatically in
recent years. Intentionally misleading insurers by missing facts when claiming insurance has …

Fraud is the use of deception to gain some benefit, often financial gain. Examples of fraud
include insurance fraud, credit card fraud, telecommunications fraud, securities fraud, and …

Insurance fraud has existed since the inception of insurance companies. These are a wide
range of crimes that go undiscovered and cost the insurance business billions of dollars …

Through a cost matrix and a combination of classifiers, this work identifies the most
economical model to perform the detection of suspected cases of fraud in a dataset of …

Automobile insurance fraud is a significant issue for insurance firms, causing financial
losses and higher premiums for policyholders. This study aims to create a predictive model …