In the era of big data, advances in relevant technologies are profoundly impacting the field of
real estate appraisal. Many scholars regard the integration of big data technology as an …

Housing price prediction in real estate industry is a very difficult task, and it has piqued the
interest of many researchers over the past years in the quest to look for a suitable model to …

The main purpose of this study is to propose an interoperable land valuation data model for
residential properties as an extension of the national geographic data infrastructure (GDI) …

The accurate estimation of real estate value helps the development of real estate policies
that can respond to the complexities and instability of the real estate market. Previously …

In the era of Industrial 4.0, many urgent issues in the industries can be effectively solved with
artificial intelligence techniques, including machine learning. Designing an effective …

In the era of Industry 4.0, Machine Learning models have become increasingly popular and
influential as they are often used to solve different prediction and classification problems in …

The aim of this paper was to test the use of machine learning algorithms in predicting the
price of heritage property. The original dataset consists of 311 prewar shophouse transacted …

This paper presents a comprehensive study examining the real estate market potential in the
dynamic urban landscapes of Frisco and Plano, Texas. Combining traditional real estate …

In the cycle of Industrial Revolution 4.0 (IR 4.0), many issues in the industries can be solved
with implementation of artificial intelligence approaches, including machine learning …