Determinants of House Price: A Decision Tree Approach

By Gang-Zhi Fan, Seow Eng Ong, Hian Chye Koh. 2006

153 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Urban Studies

View Paper: https://www.semanticscholar.org/paper/ec63c3fbb71c48fb41af79adb6e35a856b60e736

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Jengei Hong
2. Woo-sung Kim
3. Heeyoul Choi
4. Jae Kwon Bae
5. Byeonghwa Park
6. Hasan Selim

In Urban Studies

1. Hasan Selim

Citations in the corpus

• Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2015, background): “Fan et al. (2006) suggested various tree-based approaches that provide an important statistical pattern recognition tool in examining the relationship between house prices and housing characteristics.”
• A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020, background): “As discussed in Fan, Ong, and Koh (2006), the approach can be applied to investigate the linear or non-linear relationships between the dependent and independent variables and hierarchical structure of the determinants of house prices.”
• Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2009, methodology): “Fan et al. (2006) utilized the decision tree approach, which is an important statistical pattern recognition tool in examining the relationship between house prices and housing characteristics.”