Combined Feature Selection and Rule Extraction for Credit Applicant Classification-Reference-Cited by-同舟云学术

Combined Feature Selection and Rule Extraction for Credit Applicant Classification

Published:2023 Issue: Volume: Page:97-104
ISSN:2367-3370
Container-title:Innovations in Smart Cities Applications Volume 6
language:
Short-container-title:

Author:

Akil Siham,Sekkate Sara,Adib Abdellah

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26852-6_9

Reference25 articles.

1. Huang, C.L., Chen, M.C., Wang, C.J.: Credit scoring with a data mining approach based on support vector machines. Expert Syst. Appl. 33(4), 847–856 (2007)

2. Shi, J., Zhang, S.Y., Qiu, L.M.: Credit scoring by feature-weighted support vector machines. J. Zhejiang Univ. Sci. C 14(3), 197–204 (2013)

3. Ha, V.S., Nguyen, H.N.: Credit scoring with a feature selection approach based deep learning. MATEC Web Conf. 54, 1–5 (2016)

4. Munkhdalai, L., Namsrai, O.E., Ryu, K.H.: Credit scoring with deep learning. In: 4th International Conference on Information, System and Convergence Applications, pp.1–5 (2018)

5. Siham, A., Sara, S., Abdellah, A.: Feature selection based on machine learning for credit scoring : an evaluation of filter and embedded methods. In: 2021 International Conference on Innovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings (2021)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MindWave app: Leveraging AI for Mental Health Support in English and Arabic;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

2. Enhancing Credit Scoring Models with Monte Carlo Simulated Features;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

3. A Synthesis on Machine Learning for Credit Scoring: A Technical Guide;Lecture Notes in Networks and Systems;2024