Urban Real Estate Market Early Warning Based on Support Vector Machine: A Case Study of Beijing

Based on a multi-class support vector machine, an urban real estate early warning model is constructed for the Beijing real estate market. The initial indicator system is established based on the historical development of Beijing's real estate market and the selection of real estate early warni...

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Bibliographic Details
Main Authors: Xian-Jia Wang, Guan-Tian Zeng, Ke-Xin Zhang, Hai-Bo Chu, Zhen-Song Chen
Format: Article
Language:English
Published: Atlantis Press 2020-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125933313/view