Study On Design Of Real Estate Market Early Warning System Based On Web And Data Warehouse

The real estate industry with high economic correlation and driving force acts as a backbone of the national economy, the development of which affects society stability, the interest of different group and especially the actual interest of mass. Due to its particularity, government has paid much attention to the development tendency of the real estate industry. The development of the real estate industry is affected by many unforeseen factors, the majority of which are hard to be anticipated; hence, numerous data analysis is required to make decision when facing with various developing status of real estate in different periods. In this instance, an early-warning system of real estate market integrating data collection with early-warning analysis is urgently needed to help users(government especially) know the running status of real estate market in full,in accurate and in time; furthermore, it may provide necessary measure-adoption with scientific basis. In this article, modeling technique of computer information system is introduced into the early-warning realm of real estate market based on periodic fluctuate theory of real estate market economy. Basic theory and technique of early-warning system are discussed. An early-warning system of real estate market that is based on web and database is put forward; besides, the design thought, design need, holistic scheme, and idiographic design method of the system are demonstrated in detail. Finally, the article obtains synthesized simulation value covering the time from 1990 to 2004 and circulating value from 1994 to 2004 for the real estate market of Wuhan City with theoretical achievement in "The Research in The Application of Wuhan Real Estate Market Early Warning and Forecast System". It simulates the real estate market early-warning of Wuhan city in 2005, and combines these results with practical state of real estate market of Wuhan city.