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Housing Price Prediction Using Machine Learning Algorithms: The Case of Melbourne City, Australia
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Housing Price Prediction Using Machine Learning Algorithms: The Case of Melbourne City, Australia (2018)Housing Price Prediction Using Machine Le…Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)Using machine learning algori…Forecasting the U.S. real house price index (2014)Forecasting the U.S. real hou…Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection (2014)Forecasting house prices in t…A SVM Stock Selection Model within PCA (2014)A SVM Stock Selection Model w…Housing price forecasting based on genetic algorithm and support vector machine (2010)Housing price forecasting bas…The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space (2025)The Fundamental Issues and De…Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms (2022)Housing price prediction inco…Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism (2021)Deep Learning Model for House…An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network (2001)Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Augmented Textual Features-Based Stock Market Prediction (2020)Prediction of stock market index based on ISSA-BP neural network (2022)Retracted: Application of Neural Network to Technical Analysis of Stock Market Prediction (2022)Modified support vector machines in financial time series forecasting (2002)Applications of improved grey prediction model for power demand forecasting (2003)Financial time series forecasting using support vector machines (2003)NETWORK ANALYSIS OF HOUSING PRICE COMOVEMENTS OF A HUNDRED CHINESE CITIES (2022)Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China (2024)Predictions of residential property price indices for China via machine learning models (2025)Macroeconomics and Reality (1980)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices (2020)Pre-owned housing price index forecasts using Gaussian process regressions (2024)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Approximately normal tests for equal predictive accuracy in nested models (2006)Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time? (2016)Vision-based real estate price estimation (2018)House Price Prediction Using Regression Techniques: A Comparative Study (2019)Take a Look Around (2019)Attentive gated graph sequence neural network-based time-series information fusion for financial trading (2022)The Research Development of Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data (2022)GeoVeX (2023)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)Spatial Econometrics: Methods and Models (1988)To Explain or to Predict? (2010)The relationship between accessibility and land prices: A focus on accessibility to transit in the 15-min city (2024)The Nonlinear Effect of the Built Environment on Bike–Metro Transfer in Different Times and Transfer Flows Considering Spatial Dependence (2025)Travel and the Built Environment (2010)Agnostic Learning with Unknown Utilities (2016)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Integrating Sustainable City Branding and Transport Planning: From Framework to Roadmap for Urban Sustainability (2025)Transportation corridors and land use interaction: a multi-disciplinary critical review (2025)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)
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References

  • 2014Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data400 cited
  • 2010Housing price forecasting based on genetic algorithm and support vector machine155 cited
  • 2014Forecasting the U.S. real house price index120 cited
  • 2014Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection108 cited
  • 2014A SVM Stock Selection Model within PCA106 cited

Cited by

  • 2022Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms120 cited
  • 2021Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism105 cited
  • 2025The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space12 cited

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