Advances in Real Estate Valuations – Machine Learning and Big Data
Real estate is extremely heterogeneous compared to other financial assets. As properties differ much in characteristics, they require individual valuations. Additionally, the majority of real estate transactions are private, providing little information to the public. As a result, property valuations are prone to error. This seminar focuses on new valuation and data mining techniques, using machine learning and big data. The authors tackle the major problems of real estate market understanding by innovative methodology. Advanced methods allow to understand new aspects in the valuation process, improving the understanding or property markets.
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