Purpose Studies on mining text and generating intelligence on human resource documents
are rare. This research aims to use artificial intelligence and machine learning techniques to …

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

Effective cross-selling practices are integral to maintaining strong customer relationships
and optimizing business processes within the insurance industry. This study presents a …

Fraud is a very costly criminal activity. Insurance companies face the very challenging task of
identifying and preventing fraudulent claims. Just like any big problem in recent years …

This paper proposes a data mining approach to address class imbalance in insurance fraud.
Using two publicly available automobile insurance fraud datasets, we experimented with two …