Evolutionary Ensemble Approach for Behavioral Credit Scoring-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evolutionary Ensemble Approach for Behavioral Credit Scoring

Published:2018 Issue: Volume: Page:825-831
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Nikitin Nikolay O.,Kalyuzhnaya Anna V.,Bochenina Klavdiya,Kudryashov Alexander A.,Uteuov Amir,Derevitskii Ivan,Boukhanovsky Alexander V.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93713-7_81

Reference9 articles.

1. Abdou, H.A., Pointon, J.: Credit scoring, statistical techniques and evaluation criteria: a review of the literature. Intell. Syst. Account. Fin. Manag. 18(2–3), 59–88 (2011)

2. Ha, S.H.: Behavioral assessment of recoverable credit of retailer’s customers. Inf. Sci. (Ny) 180(19), 3703–3717 (2010)

3. Serrano-Cinca, C., Gutiérrez-Nieto, B.: The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending. Decis. Support Syst. 89, 113–122 (2016)

4. Lessmann, S., et al.: Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research. Eur. J. Oper. Res. 247(1), 124–136 (2015)

5. Wang, G., et al.: A comparative assessment of ensemble learning for credit scoring. Expert Syst. Appl. 38(1), 223–230 (2011)

Cited by 5 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. Metaheuristic-based ensemble learning: an extensive review of methods and applications;Neural Computing and Applications;2024-08-11

2. Matching ontologies with kernel principle component analysis and evolutionary algorithm;Demonstratio Mathematica;2024-01-01

3. An Approach to Automate the Scientific Paper's Evaluation Based on NLP Technologies: the Experience in the Russian Segment of Financial Technologies Field;Procedia Computer Science;2023

4. Emerging Complexity in Distributed Intelligent Systems;Entropy;2020-12-19

5. Structural Evolutionary Learning for Composite Classification Models;Procedia Computer Science;2020

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