부동산 매매가격; 데이터 분석; 회귀분석; 머신러닝; Real Estate Sale Price; Data Analysis; Regression Analysis; Machine Learning
Issue Date
2019-10
Publisher
대한건축학회
Citation
대한건축학회 학술발표대회 논문집, v. 39, no. 2, Page. 100-101
Abstract
The purpose of this study is out of the existing research on residential real estate, and to predict and value the transaction price of commercial real estate through machine learning. For the purpose of forecasting the data, commercial real estate sales price data and building information data by purpose are collected and organized. The dependent and independent variables were divided and the commercial building sales price was predicted using the simple regression tree among the machine learning techniques. The predicted results were used to compare the existing prices and the value of the price of a commercial building was evaluated.