2023
DOI: 10.1016/j.measen.2023.100756
|View full text |Cite
|
Sign up to set email alerts
|

Large-scale data-driven financial risk management & analysis using machine learning strategies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(3 citation statements)
references
References 22 publications
0
3
0
Order By: Relevance
“…In the context of financial control, reliable data backup and recovery systems should be considered. Financial data are the basis of strategic planning and decision-making in any company (Murugan and T 2023). They require a strategic approach that includes regularly backing up important data and storing it in safe locations, both locally and in the cloud.…”
Section: Information Management Methodsmentioning
confidence: 99%
“…In the context of financial control, reliable data backup and recovery systems should be considered. Financial data are the basis of strategic planning and decision-making in any company (Murugan and T 2023). They require a strategic approach that includes regularly backing up important data and storing it in safe locations, both locally and in the cloud.…”
Section: Information Management Methodsmentioning
confidence: 99%
“…The failure to manage these risks effectively can have far-reaching consequences, impacting not only the institutions themselves but also the broader economy. Therefore, understanding the significance of financial risk management is paramount in maintaining the resilience of the financial sector and safeguarding the interests of stakeholders [1].…”
Section: Introductionmentioning
confidence: 99%
“…Within this context, the present exposition situates itself within the hospital ecosystem, with a particular focus on harnessing the transformative potential of Internet technology [11][12][13]. Its overarching ambition is to meticulously scrutinize and evaluate the underlying risks permeating the hospital's financial management system.…”
Section: Introductionmentioning
confidence: 99%