Title :
Data mining for real estate market based on GIS technolgoy
Author :
Yang, Guang ; Qiao, Gang
Author_Institution :
Dept. of Surveying & Geo-Inf., Tongji Univ., Shanghai, China
Abstract :
The current research on real estate data is insufficient, resulting in the false judgment from the government to the real estate industry, and thus the negative impact on the social economy development. Analyzing the real estate market data, this paper used the data mining technology for the real estate data, and proposed the monitoring index system based on digestion cycle. The detailed calculation was given taking Shanghai data as an example, and the validity was verified by the results. Finally, the Shanghai GIS decision support system for real estate market based on the theoretical research was introduced, and the functions were analyzed.
Keywords :
data mining; decision support systems; geographic information systems; marketing data processing; real estate data processing; GIS technology; Shanghai GIS decision support system; data mining; digestion cycle; monitoring index system; real estate industry; real estate market; social economy development; Computer industry; Data analysis; Data mining; Economic forecasting; Employee rights; Geographic Information Systems; Industrial economics; Information analysis; Mining industry; Monitoring; Real estate market information; data mining; decesion support; geographical information systems; quantative analysis;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406635
