Real Estate

Retrieval and analysis of real estate comparable data constitute a vital part of properties valuations, asset risk assessment and decision making. Web sources contain a vast amount of comparable data, which can be utilized for efficient analyses and predictions. However the analysis model, the fundamental underlying theoretical assumptions as well as its practical implementation, remain a demanding task. Rigor analysis of the data allow accurate insight of the actual market conditions and provide significant information for efficient decision making. Novel techniques in data analysis, such as text mining, when applied to real estate problems, are able to provide additional features for the regression model and to reveal conceptually important factors, which impact prices.

  • Classification: analyze portfolio according to features bibl_simil
    • Covered area
    • Built year
    • District etc.
  • Time series
    • Analysis of past and identification of trends in portfolio and market
    • Prices
    • Yield
    • Risk assessment
    • Diversification
    • Turnover Optimization
  • Descriptive
    • Analysis of variance
    • Effect size
    • Correlations
    • chi2 test
  • Valuation modelsMATLAB Handle Graphics
    • Regression analysis
    • Ensemble models
    • Neural Networks
    • Machine learning
  • Big data
    • Collect data from IOT
    • Text mining
    • Additional Features
  • Scopetext_mining
    • Business insights
    • Distinguish profitable assets
    • Optimize performance
    • Analyze risk
    • Streamline management
    • Recommendation engines for clients