Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Construction of Enterprise Financing Risk Management System under Big Data Technology

Authors
Ye Wang1, *
1Chongqing College of Architecture and Technology, Chongqing, China
*Corresponding author.
Corresponding Author
Ye Wang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_4How to use a DOI?
Keywords
big data; enterprise financing risk; machine learning algorithm; Hadoop; computer software application
Abstract

With the wide application of big data technology, massive data information is transformed into the actual productivity of enterprises, which gives enterprises opportunities for development and brings new challenges to internal financial management. Facing the risk problems faced by enterprises in the process of financing, traditional risk management tools and technologies have obvious shortcomings in identification efficiency and control ability. In this regard, this paper puts forward a set of construction scheme of enterprise financing risk management system based on big data technology, and puts forward a new solution for enterprise financing risk management. The system takes Hadoop cluster as data management and processing server, and combines Javaweb technology to form a comprehensive application service platform integrating online application, data mining, visual analysis and other functions. Practice has proved that the system constructs the corresponding business risk and financial risk analysis model through principal component analysis and Logistic regression algorithm model, which meets the needs of enterprises for financing risk management and improves the ability of enterprises to resist financing risks.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_4
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ye Wang
PY  - 2023
DA  - 2023/12/04
TI  - Construction of Enterprise Financing Risk Management System under Big Data Technology
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 29
EP  - 35
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_4
DO  - 10.2991/978-94-6463-304-7_4
ID  - Wang2023
ER  -