Abstract
Currently, many scholars have theoretically studied the early warning index of real estate market, but few have focused on the implementation of the system. Our study provides a system for early warning and monitoring the economic situation in real estate market. We construct a boom index for China's real estate market based on the state space model. In particular, we provide users with intuitive graphical interface, which helps regulators distinguish the economic situation of real estate market in a scientific and convenient way. In addition, the system implementation includes some key technologies, such as model-solving, conversion and fusion among multi-data sources, cross-language invoking and hybrid programming.
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