An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants
MC Iban - Habitat international, 2022 - Elsevier
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 …
effective and promising results. Analysts use various algorithms to train their models with …
A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in …
S Sisman, AC Aydinoglu - Land use policy, 2022 - Elsevier
Determining real estate market dynamics has become an important issue in the city
economy for achieving sustainable urban land management and investment planning. This …
economy for achieving sustainable urban land management and investment planning. This …
Improving performance of mass real estate valuation through application of the dataset optimization and Spatially Constrained Multivariate Clustering Analysis
S Sisman, AC Aydinoglu - Land Use Policy, 2022 - Elsevier
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 …
many constant and time-varying factors. It is desirable to have high level of model …
Determining the optimal land valuation model: A case study of Hanoi, Vietnam
QC Doan - Land use policy, 2023 - Elsevier
Abstract In Vietnam, the central Government issues land price brackets, and people's
committees promulgate land price tables for five years. The published land prices are …
committees promulgate land price tables for five years. The published land prices are …
Comparison of different machine learning models for mass appraisal of real estate
SS Bilgilioğlu, HM Yılmaz - Survey review, 2023 - Taylor & Francis
The present study aimed to compare five machine learning techniques, namely, artificial
neural network (ANN), support vector machine (SVM), chi-square automatic interaction …
neural network (ANN), support vector machine (SVM), chi-square automatic interaction …
A Comprehensive Overview Regarding the Impact of GIS on Property Valuation
In the face of pressing global challenges such as climate change, socioeconomic
inequalities, and rapid urbanization, ensuring sustainable development in the regions has …
inequalities, and rapid urbanization, ensuring sustainable development in the regions has …
Legal, procedural and social aspects of land valuation in land consolidation: A comparative study for selected Central and Eastern Europe countries and Turkey
The article presents the results of the analysis of the legal and practical aspects of the
implementation of land value maps for land consolidation in four countries: Slovakia …
implementation of land value maps for land consolidation in four countries: Slovakia …
Housing fuzzy recommender system: A systematic literature review
In recent years, significant attention has been paid to fuzzy recommender systems for
housing, highlighting their ability to effectively handle the imprecision and uncertainty …
housing, highlighting their ability to effectively handle the imprecision and uncertainty …
The novelty hybrid model development proposal for mass appraisal of real estates in sustainable land management
In this study, a new methodology has been developed for a sustainable mass appraisal
system. A mathematical model was created with the combination of the Cobb-Douglas and …
system. A mathematical model was created with the combination of the Cobb-Douglas and …
Understanding the land use intensity of residential buildings in Brazil: An ensemble machine learning approach
The verticalization of cities impacts the quality of urban life. The empirical investigation of the
determinants of the floor-area ratio (FAR) of lots using the traditional econometric …
determinants of the floor-area ratio (FAR) of lots using the traditional econometric …