Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics

5 references·16 citing·33 second hop

FromToDepth

this work references cited by second hop

References

2008Determinants of house prices in Turkey: Hedonic regression versus artificial neural network361 cited
2001Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks313 cited
1995An Exploration of Neural Networks and Its Application to Real Estate Valuation266 cited
2007Random Forests for multiclass classification: Random MultiNomial Logit193 cited
2005Modelling accessibility to urban services using fuzzy logic67 cited

Cited by

2018Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments206 cited
2020A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA180 cited
2021Metrics for evaluating the performance of machine learning based automated valuation models178 cited
2020Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices131 cited
2018Building real estate valuation models with comparative approach through case-based reasoning122 cited
2019Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review119 cited
2020A mass appraisal assessment study using machine learning based on multiple regression and random forest119 cited
2022An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

100 cited

2020Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China99 cited

2022Interpretable machine learning for real estate market analysis87 cited

2022Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times85 cited

2019Estimation and updating methods for hedonic valuation80 cited

2020Who performs better? AVMs vs hedonic models73 cited

2022Automated real estate valuation with machine learning models using property descriptions72 cited

2020Farm efficiency estimation using a hybrid approach of machine-learning and data envelopment analysis: Evidence from rural eastern India65 cited

2019Optimizing Ensemble Weights for Machine Learning Models: A Case Study for Housing Price Prediction49 cited