Analysis of debt repayment trend by classification method in the assets management company

Asset Management companies are the companies that try to collect and restructure the collection after taking overdue collection from the banks. In this research, it is aimed to find the repayment tendency analysis with the borrower's demographic characteristics (such as gender, salary, age, place of birth) , central bank risk, collections, balance attributes and location scores by established from professional company. In this research, repayment trend of borrowers in different categories were compared facts which are founded by data mining classification techniques such as C4.5 and Naive Bayes. The importance of the categories of borrowers and the characteristics of the borrowers in the repayment tendencies were determined and thus, it was aimed to help Asset Management companies to discover a way for the future plan.