Forecasting pandemic-induced changes in real estate market values through machine learning approaches
In this study, a new temporal segmentation method is used to forecasting the real estate market based on the structural and spatial attributes of 676 houses in Niğde, Türkiye, from the years 2019 to 2022. Artificial Neural Networks (ANN), Random Forest (RF), Decision Tree (DT), and K-Nearest Neighb...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2025-07-01
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| Series: | International Journal of Strategic Property Management |
| Subjects: | |
| Online Access: | https://transport.vilniustech.lt/index.php/IJSPM/article/view/24063 |
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