This paper reviews real estate price estimation in France, a market that has received little
attention. We compare seven popular machine learning techniques by proposing a different …

Purpose The current state-of-the-art recognises three traditional valuation approaches. The
current division is not sufficient to explain systematically all features that drive the …

Property valuation contributes significantly to market economic activities, while it has been
continuously questioned on its low transparency, inaccuracy and inefficiency. With Big Data …

The main aim of the paper is to systematise the terms and methodologies used in the
property valuation and market analyses domain (single property or mass valuation). The …

Objective monitoring of the real estate value is a requirement to maintain balance, increase
security and minimize the risk of a crisis in the financial and economic sector of every …

As the global imperative for sustainable development intensifies, the real estate industry
stands at the intersection of environmental responsibility and economic viability. This paper …

Purpose In the literature there are numerous tests that compare the accuracy of automated
valuation models (AVMs). These models first train themselves with price data and property …

Every real estate investment decision making, because of the high capital-intensive
character of properties, requires careful analysis of information. Availability of the …

The financial transmission of the USA's housing price bubble has highlighted the
inadequacy of the valuation methods adopted by the credit institutions, due to their static …

Machine learning models require numerous training examples to provide reliable
predictions of real estate prices. Expert algorithms could be applied wherever only several …