FORECASTING SPATIAL DYNAMICS OF THE HOUSING MARKET USING SUPPORT VECTOR MACHINE

Autor: Linzi Zheng, Jieh Haur Chen, Shu Chien Hsu, Chuan Fan Ong

Publikováno v: International Journal of Strategic Property Management; Vol 21 No 3 (2017); 273-283
International Journal of Strategic Property Management, Vol 21, Iss 3 (2017)

This paper adopts a novel approach of Support Vector Machine (SVM) to forecast residential housing prices. as one type of machine learning algorithm, the proposed SVM encompasses a larger set of variables that are recognized as price-influencing and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::288fe8f546a73c3899a2faade6976418
https://doi.org/10.3846/1648715x.2016.1259190