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The Use of Machine Learning in Real Estate Research
5 references·2 citing·27 second hop
The Use of Machine Learning in Real Estate Research (2023)The Use of Machine Learning in Real Estat…Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times (2022)Housing Price Prediction Usin…Predicting property prices with machine learning algorithms (2020)Predicting property prices wi…Identifying Real Estate Opportunities Using Machine Learning (2018)Identifying Real Estate Oppor…Hedonic Regressions and the Decomposition of a House Price Index into Land and Structure Components (2014)Hedonic Regressions and the D…Big Data: New Tricks for Econometrics (2014)Big Data: New Tricks for Econ…Institutional measurement of structural characteristics of residential real estate markets using the method of cluster analysis (2024)Institutional measurement of …AI-Based on Machine Learning Methods for Urban Real Estate Prediction: A Systematic Survey (2023)AI-Based on Machine Learning …Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Human Decisions and Machine Predictions (2017)American Economic Review (2019)Forecasting: theory and practice (2022)The Making of Index-Numbers. (1923)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)The price and quantity of residential land in the United States (2007)Hedonic price–rent ratios, user cost, and departures from equilibrium in the housing market (2015)A hedonic urban land price index (2018)The price of residential land for counties, ZIP codes, and census tracts in the United States (2020)Journal of Construction Engineering and Management (1983)Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units (2015)Who performs better? AVMs vs hedonic models (2020)Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic (2021)Real estate price estimation in French cities using geocoding and machine learning (2021)The Derived FOXP2 Variant of Modern Humans Was Shared with Neandertals (2007)To Explain or to Predict? (2010)House price forecasting with neural networks (2021)Pre-owned housing price index forecasts using Gaussian process regressions (2024)Predictions of residential property price indices for China via machine learning models (2025)Hedonic Pricing Models: A Selective and Applied Review (2002)The Composition of Hedonic Pricing Models (2005)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Using Geographic Information Systems to Improve Real Estate Analysis (1995)A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020)
this work references cited by second hop

References

  • 2014Big Data: New Tricks for Econometrics1,574 cited
  • 2020Predicting property prices with machine learning algorithms293 cited
  • 2018Identifying Real Estate Opportunities Using Machine Learning145 cited
  • 2014Hedonic Regressions and the Decomposition of a House Price Index into Land and Structure Components100 cited
  • 2022Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times85 cited

Cited by

  • 2023AI-Based on Machine Learning Methods for Urban Real Estate Prediction: A Systematic Survey56 cited
  • 2024Institutional measurement of structural characteristics of residential real estate markets using the method of cluster analysis9 cited

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