Title :
A Risk Early Warning Model in Real Estate Market Based on Support Vector Machine
Author :
Liu, Tao ; Liu, Yajuan
Author_Institution :
Dept. of Electron. & Inf. Eng., Suzhou Vocational Univ., Suzhou, China
Abstract :
Based on the comprehensive analysis of the existing risk early warning methods in real estate, a new risk forecast method based on support vector machine is put forward. And a risk early warning model in real estate market based on support vector machine is established. The realization process of the risk early warning method is discussed. Taking the practical data in real estate exploitation as the study sample and testing sample, the feasibility of the model is validated.
Keywords :
marketing; risk analysis; support vector machines; SVM; real estate market; risk early warning model; risk forecast method; support vector machine; Biological system modeling; Economics; Fitting; Indexes; Kernel; Predictive models; Support vector machines; model; real estate market; risk early warning; support vector machine;
Conference_Titel :
Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-6640-5
Electronic_ISBN :
978-1-4244-6641-2
DOI :
10.1109/ICICCI.2010.65