日本不動産学会誌
Online ISSN : 2185-9531
Print ISSN : 0911-3576
ISSN-L : 0911-3576
ビッグデータで見る不動産価格の決まり方
清水 千弘
著者情報
ジャーナル フリー

2017 年 31 巻 1 号 p. 45-51

詳細
抄録

What effect might the development of big data and AI have on the work of real estate professionals ? This paper focuses on the degree to which AI and machine learning may be able to correctly determine real estate prices - a task which occupies a central position in the work of real estate appraisers and brokers. Real estate price determination requires a process where real estate data of varying quality is utilized in the analysis of price formation structures. Furthermore, as the market is in a constant state of flux prices must be determined in response to changes over time. Big data and AI are terms that are commonly used in general conversation. While they do have a complementary relationship they have developed, fundamentally, as diff erent technologies. Recent developments in this area have garnered attention, with a particular focus on advances in big data, and in the context of the development of such an information base the significant improvements in the methods of analysis known as AI and machine learning indicate that such techniques will eventually be able to perform the task of real estate price determination that is currently carried out by appraisers and brokers.

著者関連情報
© 2017 公益社団法人 日本不動産学会
前の記事 次の記事
feedback
Top