Applying Data Mining Techniques in Property/Casualty Insurance

This paper addresses the issues and techniques for Property/Casualty actuaries using data mining techniques. Data mining means the efficient discovery process that includes data acquisition, data integration, data exploration, model building, and model validation. The paper provides an overview of the information discovery techniques and introduces some important data mining techniques for application to insurance including cluster discovery methods and decision tree analysis.