Over the past two decades, machine learning has been gaining significant attention for
solving complex engineering problems. Genetic programing (GP) is an advanced framework …

Mass real estate valuation is a multidimensional and complex matter because it depends on
many constant and time-varying factors. It is desirable to have high level of model …

Despite several attempts to compare and examine the predictive accuracy of real estate
sales and rent prices between the regression‐based and neural‐network (NN)‐based …

Geographic Information Systems (GIS) and Machine Learning methods are now widely used
in mass property valuation using the physical attributes of properties. However, locational …

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) …

Land development in sub-urban areas is more frequent than in highly urbanized cities,
causing land prices to increase abruptly and making it harder for valuers to update land …

With the rapid development of computer, artificial intelligence and big data technology,
artificial neural networks have become one of the most powerful machine learning …

In Türkiye, many changes have been made in the law within the past fifty years to determine
the real estate tax value close to the real market value. However, the changes did not …

Ulusal Yapay Zekâ Stratejisi 2021-2025'e ilişkin strateji belgesinde 6 stratejik öncelik ve bu
öncelikler kapsamında 24 amaç belirlenmiştir. Bu amaçlardan birisi de kamu kurumlarında …

Urban land management policies and applications require comprehensive information
about real estate development dynamics and value criteria. In this study, geo-analytic tools …