著者

大和 大祐 野村 眞平

出版者

公益社団法人 日本不動産学会

雑誌

日本不動産学会誌 (ISSN:09113576)

巻号頁・発行日

vol.31, no.1, pp.78-83, 2017-06-29 (Released:2018-06-29)

参考文献数

6

被引用文献数

1

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This paper introduces the market price of house rent in SUUMO as an example of applications for big data utilization. The market price using average or median of house rent may not be appropriate with respect to the stabilization. This paper investigates the possibility of the market price using statistical models using linear regression or random forests to make the market price to be stabilized. This analysis uses the data of houses listed in SUUMO from August 2016 to October 2016 and the number of houses are about three million. The result shows that the market price using random forest with smoothing is the most appropriate in our case.