This paper presents the real estate early-warning and forecasting system developed to monitor and provide pre-warning to the user decision makers in the property market. The paper analyses essential factors affecting the real estate market, and build the conceptual model of the real estate early-warning and forecasting system. A statistical control 3 sigma criteria method has been developed, which can provide to compute the warning limit. In addition, the system framework model has been developed, which can provide a development idea to further design this system.
Urban Real Estate Market Early Warning Based on Support Vector Machine: A Case Study of Beijing