Financial Risk Assessment of Enterprise Management Accounting Based on Association Rule Algorithm under the Background of Big Data. (17th May 2022)
- Record Type:
- Journal Article
- Title:
- Financial Risk Assessment of Enterprise Management Accounting Based on Association Rule Algorithm under the Background of Big Data. (17th May 2022)
- Main Title:
- Financial Risk Assessment of Enterprise Management Accounting Based on Association Rule Algorithm under the Background of Big Data
- Authors:
- Lin, Yibin
Yue, Huabo
Liao, Haojie
Li, Dong
Chen, Ling - Other Names:
- Zhou Mu Academic Editor.
- Abstract:
- Abstract : Under the background of the rapid development of data informatization, the evaluation and analysis of enterprise management accounting risk are the key link of enterprise sustainable development. Based on the theoretical basis of enterprise management accounting risk analysis, this paper selects 11 representative corporate financial risk indicators from financial risk indicators through correlation analysis and then selects 8 key indicators that affect corporate financial risk through association rules, to assess and analyze the company's financial risks. Finally, this paper takes 20 ST companies in China as the research object to carry out empirical research. According to the assessment and analysis of financial risks in the company's management accounting, it proposes measures from four modules to strengthen the company's ability to resist risks.
- Is Part Of:
- Journal of sensors. Volume 2022(2022)
- Journal:
- Journal of sensors
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-17
- Subjects:
- Detectors -- Periodicals
681.205 - Journal URLs:
- https://www.hindawi.com/journals/js/ ↗
- DOI:
- 10.1155/2022/8041623 ↗
- Languages:
- English
- ISSNs:
- 1687-725X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21674.xml