Automobiles are required in everyday life to commute from destination to other. But, due to
faulty road conditions, heavy traffic and lack of adequate driver skills, crash incidents …

Insurance is a pivotal element in modern society, but insurers face a persistent challenge
from fraudulent behaviour performed by policyholders. This behaviour could be detrimental …

This research aims to enhance the classical K-Means algorithm, particularly focusing on
improving classification accuracy for imbalanced data types. The conventional K-Means …

The weighted K-means clustering algorithm is widely recognized for its ability to assign
varying importance to features in clustering tasks. This paper introduces an enhanced …

Insurance claim fraud poses significant challenges for insurance companies, resulting in
financial losses and a deterioration of industry trust. Reducing them requires correctly and …

We identified two use cases for machine learning (ML) in the process of handling insurance
claims related to water damage. The first use case is a classification task and concerns the …