Research on Financial Early Warning Analysis Based on Big Data Technology

DOI

10.2991/978-94-6463-064-0_97How to use a DOI?

Keywords

Big data mining; Financial Early Warning Model; Analytic Hierarchy Process

Abstract

Financial early warning analysis is of great significance to the survival and development of enterprises, and the application of big data technology helps to collect and process non-financial data in the financial early warning analysis model. This article first introduces the characteristics of big data and big data mining technology, and then analyzes the characteristics of financial early warning analysis in the era of big data. Finally, the analytic hierarchy process is used to construct a financial early warning analysis model and select listed companies for empirical analysis. The financial early warning analysis model introduces big data indicators as non-financial indicators, which can make a more accurate judgment on the company's financial status.

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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TY  - CONF
AU  - Xiangxia Shao
PY  - 2022
DA  - 2022/12/27
TI  - Research on Financial Early Warning Analysis Based on Big Data Technology
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 949
EP  - 957
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_97
DO  - 10.2991/978-94-6463-064-0_97
ID  - Shao2022
ER  -