Bank Loan Analysis using Data Mining Techniques

• Autorzy: Trinh Thi-Nhi , Nguyen Hoang-Diep

Identyfikatory

DOI

10.15439/2022R43

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

bank loan analysis; association rule mining; clustering; classification

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 33
• Strony: 295--298
• Opis fizyczny: Bibliogr. 7 poz., tab., wykr.

Twórcy

autor

Trinh Thi-Nhi

• Faculty of Information Technology Hung Yen University of Technology and Education Hung Yen, Vietnam

autor

Nguyen Hoang-Diep

• Faculty of Information Technology Hung Yen University of Technology and Education Hung Yen, Vietnam

Bibliografia

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• [2] J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
• [3] I. S. Jacobs and C. P. Bean, “Fine particles, thin films and exchange anisotropy,” in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271–350.
• [4] K. Elissa, “Title of paper if known,” unpublished.
• [5] R. Nicole, “Title of paper with only first word capitalized,” J. Name Stand. Abbrev., in press.
• [6] Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, vol. 2, pp. 740–741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982].
• [7] M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).