In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
System Development & Application
|
3396-3401

Credit evaluation of supply chain finance for high dimensional and unbalanced data

Gu Tianxia
Liu Qinming
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

Aiming at the credit risk control of small and medium-sized enterprises in the supply chain finance model, this paper proposed a credit risk prediction model for high dimensional and unbalanced data. Firstly, based on the Pearson-XGBoost two-stage feature selection, this model established the supply chain financial credit evaluation index system. Secondly, with the help of the improved NM-SMOTE algorithm, it made the dataset balanced. Finally, it used the Focal loss function to improve the XGBoost algorithm, and optimized it by the improved particle swarm algorithm, thus established the final credit evaluation model. The experimental results show that the INS-IPSO-FLXGBoost model has a better prediction effect for small and medium-sized enterprises, and can identify risky enterprises more effectively.

Foundation Support

国家自然科学基金资助项目(71632008,71840003)
上海市自然科学基金资助项目(19ZR1435600)
教育部人文社会科学研究规划基金资助项目(20YJAZH068)
上海理工大学科技发展项目(2020KJFZ038)
2020年上海理工大学大学生创新创业训练计划资助项目(SH2020067)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0174
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: System Development & Application
Pages: 3396-3401
Serial Number: 1001-3695(2022)11-031-3396-06

Publish History

[2022-06-18] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

顾天下, 刘勤明. 面向高维和不平衡数据的供应链金融信用评价 [J]. 计算机应用研究, 2022, 39 (11): 3396-3401. (Gu Tianxia, Liu Qinming. Credit evaluation of supply chain finance for high dimensional and unbalanced data [J]. Application Research of Computers, 2022, 39 (11): 3396-3401. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)