计算机与现代化Issue(4)：122-126,5.DOI:10.3969/j.issn.1006-2475.2018.04.023
基于ARIMA模型的二手房价格预测
Price Prediction of Second-hand House Based on ARIMA Model
郑永坤 1刘春1
作者信息
- 1. 中国电信股份有限公司广州研究院大数据应用研发中心,广东 广州510630
- 折叠
摘要
Abstract
In recent years,house prices in China's first-tier and second-tier cities have continued to rise,and houses have be-come a hot topic of discussion in daily life,we have to guess the future trend of housing prices.In this paper,we take up the av-erage price of second-hand housing in Guangzhou and Shenzhen since 2013 from a domestic well-known large-scale real estate websites,use the ARIMA model to rollingly forecast the future housing price, and use RMSE to judge the prediction accuracy. The results show that the model can predict the average price of second-hand house continuously,and the prediction accuracy is higher,which can be used as reference for housing traders.关键词
ARIMA/房价/预测/时间序列Key words
ARIMA/housing price/prediction/time series分类
信息技术与安全科学引用本文复制引用
郑永坤,刘春..基于ARIMA模型的二手房价格预测[J].计算机与现代化,2018,(4):122-126,5.
