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

DOI10.1007/s10479-021-03932-5zbMath1486.91047OpenAlexW3132460254MaRDI QIDQ2669454

Serge Nyawa, Dieudonné Tchuente

Publication date: 9 March 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-021-03932-5

zbMATH Keywords

artificial intelligenceinvestmentmachine learningreal estate marketautomated valuation modelsgeocodingFrench cities

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Artificial neural networks and deep learning (68T07) Spatial models in economics (91B72)

Related Items (1)

Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach

Uses Software

• AdaBoost.MH

Cites Work

• Unnamed Item
• Valuating residential real estate using parametric programming
• Real estate appraisal: a double perspective data envelopment analysis approach
• Prediction of cryptocurrency returns using machine learning
• Gauss and the invention of least squares
• Neural network models: Foundations and applications to an audit decision problem
• Single-period location models for subsidized housing: tenant-based subsidies
• Robust location of new housing developments using a choice model
• Support-vector networks
• Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches
• Financial planning for Young households
• An application of the TODIM method to the multicriteria rental evaluation of residential properties
• Understanding Machine Learning
• Nearest neighbor pattern classification
• Random forests

This page was built for publication: Real estate price estimation in French cities using geocoding and machine learning