The construction industry is considered as one of the least productive, highest energy
consuming, and least digitized industries. The Lean Management (LM) philosophy became …

In the mass appraisal of properties, Machine Learning (ML) algorithms have produced
effective and promising results. Analysts use various algorithms to train their models with …

Data mining is now commonly applied in the real estate market. Data mining's ability to
extract relevant knowledge from raw data makes it very useful to predict house prices, key …

This paper considers the relationship between the price of houses and the features namely
the number of bedrooms, parking space, and different house types. In this study, a machine …

House price is affected significantly by several factors and determining a reasonable house
price involves a calculative process. This paper proposes advanced machine learning (ML) …

This paper proposes the use of a metafrontier efficiency analysis approach to estimate
residential property values. The objective is to mitigate inefficiencies in these valuations …

Due to the growing importance of accessibility to urban amenities on quality of life and
neighborhood satisfaction in South Korea, various efforts have been made to improve …

Purpose Real estate agents are professionals who need up-to-date and accurate
information about their clients in order to maintain profitable and long-lasting relationships …

Machine learning has found wide-ranging applications across numerous industries,
including speech recognition, product recommendation, and healthcare. The proposed …

The COVID-19 pandemic interrupted normal business practices for organizations worldwide.
The damage caused by the global outbreak resulted in many small business owners …