The application of machine learning in real estate enterprise risk management Online publication date: Tue, 02-Jul-2024
by Hongtao Pan
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 25, No. 1, 2024
Abstract: As a pillar industry of the national economy, real estate plays a pivotal role in economic development, social stability, employment and other fields. In recent years, the rapid development of the real estate industry has become a common concern of the whole society. The changes of the market economy and the national macro-control will have a huge impact on the real estate industry, and the real estate industry has become the industry with the highest risk. It is an inevitable trend to introduce new technologies into the risk management of real estate enterprises and to improve the automation and intelligence of risk management. By analysing the risk management of real estate enterprises, this paper constructs a risk management model and implementation path based on machine learning, and elaborates its implementation process in detail. The study found that compared with the risk level of the real estate industry, under the enterprise risk management model based on machine learning, the risk level of enterprises is lower.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook