Real estate price estimation in French cities using geocoding and machine learning

This paper reviews real estate price estimation in France, a market that has received little attention. We compare seven popular machine learning techniques by proposing a different approach that quantifies the relevance of location features in real estate price estimation with high and fine levels...

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Bibliographic Details
Published in:	Annals of operations research Vol. 308; no. 1-2; pp. 571 - 608
Main Authors:	Tchuente, Dieudonné, Nyawa, Serge
Format:	Journal Article
Language:	English
Published:	New York Springer US 2022 Springer Springer Nature B.V
Subjects:	Algorithms Business and Management Combinatorics Error analysis Estimation theory Forecasting Geographical locations Geospatial data Low level Machine learning Mathematical models Neural networks Operations research Operations Research/Decision Theory Prices Prices and rates Real estate Real property S.I. : Artificial Intelligence in Operations Management Theory of Computation France Real estate market French cities Machine learning Geocoding Automated valuation models Artificial intelligence Investment
Online Access:	Get full text
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