engleski

Discovering Fraud in Leasing Agreements: Data Mining Approach

Fraud attempts create large losses for financing subjects in modern economies. Leasing agreements have become more and more popular as a means of financing objects such as machinery and vehicles. The goal of the paper is to estimate the usability of the data mining approach in disovering fraud in leasing agreements. Real-world data from one of the Croatian leasing firms was used for creating tow models for fraud detection in leasing. The decision tree method was used for creating a classification model, and the CHAID algorithm was deployed.

leasing; fraud; data mining; classification; decision tree; CHAID

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