Abstract:

Data mining is currently actively used in the processing of hidden trends and meaningful relationships, together with different techniques to be used in the decision-making mechanisms of quantum and quality data arising from economic activities. Data mining, which is a highly serious analytical approach in the detection of financial illegal transactions, is described as the processes of obtaining and identifying and profiling useful data from broad databases by means of mathematics, statistics, machine learning, sample recognition and artificial intelligence. In this study, a classification study was conducted to identify unlawful behaviors in the financial sector. For this purpose, the CART algorithm was implemented and later the CART algorithm was optimized with the Genetic algorithm. The recommended GA-CART model has shown a very good classification performance.