Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data

B Park, JK Bae - Expert systems with applications, 2015 - Elsevier
House sales are determined based on the Standard & Poor's Case-Shiller home price
indices and the housing price index of the Office of Federal Housing Enterprise Oversight …

Housing market segmentation: A review

KS Islam, Y Asami - Review of Urban & Regional Development …, 2009 - Wiley Online Library
The definitions and methods of housing market segmentation depend on the use to which
they are put. Typically, they are used for price prediction, formulation of appropriate …

House price prediction using machine learning and neural networks

A Varma, A Sarma, S Doshi… - 2018 second international …, 2018 - ieeexplore.ieee.org
Real estate is the least transparent industry in our ecosystem. Housing prices keep
changing day in and day out and sometimes are hyped rather than being based on …

Determinants of house prices in Turkey: Hedonic regression versus artificial neural network

H Selim - Expert systems with Applications, 2009 - Elsevier
Determinants of house prices in Turkey are examined in this paper using the 2004
Household Budget Survey Data. In property valuation and housing market research, the …

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

EA Antipov, EB Pokryshevskaya - Expert systems with applications, 2012 - Elsevier
To the best knowledge of authors, the use of Random forest as a potential technique for
residential estate mass appraisal has been attempted for the first time. In the empirical study …

Property price modelling, market segmentation and submarket classifications: A review

H Usman, M Lizam, MU Adekunle - Real Estate Management and …, 2020 - sciendo.com
Accurate pricing of the property market is necessary to ensure effective and efficient decision
making. Property price is typically modelled using the hedonic price model (HPM). This …

[HTML][HTML] Improving hedonic housing price models by integrating optimal accessibility indices into regression and random forest analyses

D Rey-Blanco, JL Zofío, J González-Arias - Expert Systems with …, 2024 - Elsevier
Location indices are key in explaining variation in house prices. However, the definition of
comprehensive indices capturing all locational features, along with their efficient and timely …

Business models in industrialized building of multi-storey houses

S Brege, L Stehn, T Nord - Construction management and …, 2014 - Taylor & Francis
The business model construct has been widely used during the last decade, partly because
of its potential to provide a holistic view of how companies do business. A test of how …

Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China

Y Xiao, ECM Hui, H Wen - Habitat International, 2019 - Elsevier
Floor level is an important factor influencing housing price. However, most existing literature
just treated floor level as a control variable and simply obtained a linear relationship …

House price diffusion of housing submarkets in Greater Sydney

M Bangura, CL Lee - Housing Studies, 2020 - Taylor & Francis
Despite numerous studies investigating house price diffusion between regional cities, few
have considered a spillover effect among housing submarkets within a metropolitan city …