Title: The application of machine learning in real estate enterprise risk management

Authors: Hongtao Pan

Addresses: Yantai Nanshan University, Yantai 265700, Shandong, China

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.

Keywords: risk management; real estate business; machine learning; business management.

DOI: 10.1504/IJBIDM.2024.139397

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.1, pp.1 - 17

Received: 15 Jun 2022
Accepted: 05 Jan 2023
Published online: 02 Jul 2024 *

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