Zobrazeno 1 - 10
of 37
pro vyhledávání: '"ChangHa Jin"'
Publikováno v:
International Journal of Strategic Property Management, Vol 26, Iss 5 (2022)
In this study, we examine the prediction accuracy of machine learning methods to estimate commercial real estate transaction prices. Using machine learning methods, including Random Forest (RF), Gradient Boosting Machine (GBM), Support Vector Machine
Externí odkaz:
https://doaj.org/article/e686d91a3c6c4969b79e0921b164dfa8
Publikováno v:
The Journal of Korea Real Estate Analysists Association. 28:7-24
Autor:
Changha Jin, Sungho Yun
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Journal of Strategic Property Management; Vol 26 No 5 (2022); 345–361
In this study, we examine the prediction accuracy of machine learning methods to estimate commercial real estate transaction prices. Using machine learning methods, including Random Forest (RF), Gradient Boosting Machine (GBM), Support Vector Machine
Autor:
Dongjoong Kim1 mad8080@hanyang.ac.kr, Changha Jin1 cjin@hanyang.ac.kr, Jin Man Lee2 jlee141@depaul.edu
Publikováno v:
International Real Estate Review. Spring2021, Vol. 24 Issue 1, p59-85. 27p.
Publikováno v:
Journal of Real Estate Research. 43:248-270
In this study, we examine whether the fluctuation of residential housing prices affects the stability of financial institutions in 31 Organization for Economic Co-operation and Development (OECD) a...
Autor:
Changha Jin, Bonggeun Choi
Publikováno v:
Korean Association for Housing Policy Studies. 28:89-111
Autor:
Jinwoo Jung1 jinwooj@hayang.ac.kr, Changha Jin1 cjin@hanyang.ac.kr
Publikováno v:
International Real Estate Review. Spring2019, Vol. 22 Issue 1, p1-23. 23p.
Autor:
Changha Jin, Min-Joon Oh
Publikováno v:
Korean Association for Housing Policy Studies. 27:5-33
Autor:
Dongyoung Yoo, Changha Jin
Publikováno v:
Journal of Korea Planning Association. 54:67-75