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Identifying Real Estate Opportunities Using Machine Learning
4 references·7 citing·37 second hop
Identifying Real Estate Opportunities Using Machine Learning (2018)Identifying Real Estate Opportunities Usi…A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units (2015)A Novel Machine Learning Mode…Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)Using machine learning algori…The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales (2009)The Future of Prediction: How…Journal of Construction Engineering and Management (1983)Journal of Construction Engin…The Use of Machine Learning in Real Estate Research (2023)The Use of Machine Learning i…House price prediction with gradient boosted trees under different loss functions (2022)House price prediction with g…House price prediction using hedonic pricing model and machine learning techniques (2022)House price prediction using …Real estate price estimation in French cities using geocoding and machine learning (2021)Real estate price estimation …Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic (2021)Predictive analytics using Bi…Who performs better? AVMs vs hedonic models (2020)Who performs better? AVMs vs …The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach (2020)The Importance of Economic Va…Computational Social Science (2009)Big data: the management revolution. (2012)Bayesian Variable Selection for Nowcasting Economic Time Series (2013)Big Data : The Management Revolution (2013)Leveraging Trends in Online Searches for Product Features in Market Response Modeling (2014)Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter (2017)Regularization Neural Network for Construction Cost Estimation (1998)Determinants of House Prices in Central and Eastern Europe (2007)Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2008)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)Predicting the Present with Google Trends (2012)The future of employment: How susceptible are jobs to computerisation? (2016)Exploring Carbon Pricing in Developing Countries: A Macroeconomic Analysis in Ethiopia (2019)Composite property price index forecasting with neural networks (2023)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Spatial Econometrics: Methods and Models (1988)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Empirical Asset Pricing via Machine Learning (2020)Listing Price, Time on Market, and Ultimate Selling Price: Causes and Effects of Listing Price Changes (2002)The Trade-off Between the Selling Price of Residential Properties and Time-on-the-Market: The Impact of Price Setting (2003)On the need for caution in using ‘big data’ for built environment research: A response to Chng et al. (2024) (2025)A Regression Method for Real Estate Price Index Construction (1963)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)The Journal of Real Estate Finance and Economics (2013)An Optimal House Price Prediction Algorithm: XGBoost (2024)Real estate appraisal: a review of valuation methods (2003)Encyclopedia of Quality of Life and Well-Being Research (2014)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies (2019)A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020)Predicting property prices with machine learning algorithms (2020)Project complexity: The focal point of construction production planning (1996)Delays and cost increases in the construction of private residential projects in Kuwait (2005)Selection of performance objectives and key performance indicators in public–private partnership projects to achieve value for money (2009)
this work references cited by second hop

References

  • 1983Journal of Construction Engineering and Management969 cited
  • 2014Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data400 cited
  • 2015A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units289 cited
  • 2009The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales224 cited

Cited by

  • 2021Real estate price estimation in French cities using geocoding and machine learning82 cited
  • 2020Who performs better? AVMs vs hedonic models73 cited
  • 2021Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic69 cited
  • 2022House price prediction with gradient boosted trees under different loss functions68 cited
  • 2022House price prediction using hedonic pricing model and machine learning techniques67 cited
  • 2020The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach63 cited
  • 2023The Use of Machine Learning in Real Estate Research63 cited

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