Financial credit risk prediction in internet finance driven by machine learning

Author:

Ma Xiaomeng,Lv Shuliang

Funder

Postdoctoral Research Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference19 articles.

1. Cao M, Xiao Y, Liu M (2015) Fuzzy support vector machines for credit risk prediction of SMEs under internet finance. Icic Express Lett 9(1):45–52

2. Kamalloo E, Abadeh MS (2014) Credit risk prediction using fuzzy immune learning. Adv Fuzzy Syst 16:1–11

3. Imazato A, Hotta K, Higo Y et al (2014) Risk prediction for code clones based on machine learning. Tech Rep Ieice Ss 114:1–6

4. Puyalnithi T, Viswanatham VM (2016) Preliminary cardiac disease risk prediction based on medical and behavioural data set using supervised machine learning techniques. Indian J Sci Technol 9(31)

5. Zhu Y, Xie C, Wang GJ et al (2016) Predicting China’s SME credit risk in supply chain finance based on machine learning methods. Entropy 18(5):195

Cited by 57 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. Sequential three-way decision with automatic threshold learning for credit risk prediction;Applied Soft Computing;2024-11

2. Machine Learning-Driven Lending Decisions in Bank Consumer Finance;International Journal of Information Systems and Supply Chain Management;2024-07-17

3. Personalized Wealth Management Website;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03

4. Layer-selective deep representation to improve esophageal cancer classification;Medical & Biological Engineering & Computing;2024-06-07

5. Development and Implementation of a Multilayer Deep Learning-Based Bank Credit Risk Forecasting System;Journal of Information & Knowledge Management;2024-04-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3