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Bank Loan Analysis using Data Mining Techniques

Trinh Thi-Nhi, Nguyen Hoang-Diep

Annals of Computer Science and Information Systems

2022

Vol. 33

295--298

Nowadays, a bank loan can provide people with cash to fund home improvements or start a business. However, some customers who are accepted with a loan cannot repay or someone usually repays in a delayed time. Therefore, to minimize losses, examining loan applications is particularly evident for the bank. This paper study on bank loan analysis using data mining techniques. We use association rules mining, clustering, and classification techniques on the applicant's profile to help the bank quickly decide for a loan applicant.