Özet:

Since the insurance sector guarantees the insurer against potential damages, it prevents social and economic collapse and losses, it is always a source of insurance for individuals and institutions. If the parties within the sector are intentionally applying for fraudulent actions in order to provide unfair interest, it causes the sector to get hurt. Therefore, it is very important to identify the tricks and take appropriate actions against the tricks. At the point of technology, data mining has become one of the effective tools used in the management of fraud risk. The main purpose of our article is to explain how data mining will be used as a tool to help manage the risk of fraud in insurance companies, and the subject that is addressed in accordance with this purpose is explained by a specific example by examining the vehicle insurance specialty. In this context, the data of its customers in its database is provided by an agent. Those who have been suspected of fraud and those who have not been attempted to be predicted through the J.48 algorithm of the decision tree model.

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