Credit Risk Assessment Using Decision Tree and Support Vector Machine Based Data Analytics-Reference-Cited by-同舟云学术

Credit Risk Assessment Using Decision Tree and Support Vector Machine Based Data Analytics

Published:2019 Issue: Volume: Page:79-84
ISSN:2522-8714
Container-title:Creative Business and Social Innovations for a Sustainable Future
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Author:

Roy Abhijeet Guha,Urolagin Siddhaling

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01662-3_10

Reference9 articles.

1. Kavitha, K.: Clustering loan applicants based on risk percentage using K-means clustering techniques. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 6(2), 162–166 (2016)

2. Sudhakar, M., Reddy, C.V.K.: Two step credit risk assessment model for retail bank loan applications using decision tree data mining technique. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) 5(3), 705–718 (2016)

3. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan-Kaufmann Publishers, San Mateo, CA (1993)

4. Quinlan, J.: R, Discovering rules by induction from large collection of examples. In: Michie, D. (ed.) Expert Systems in the Micro Electronic Age. Edinburgh University Press, Edinburgh, UK (1979)

5. Han, J., Kamber, M., Pei, J.: Classification: basic concepts. In: Data Mining Concepts and Techniques, 3rd edn., pp. 330–350. Morgan-Kaufmann Publishers (2012)

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