Machine Learning for Mass Valuation of Residential Real Estate

Author:

Ostrikova Anna,Selyutin Victor

Publisher

Springer Nature Switzerland

Reference6 articles.

1. Wang, D., Li, V.J.: Mass appraisal models of real estate in the 21st century: a systematic literature review. Sustainability 11(24), 1–14 (2019). https://doi.org/10.3390/su11247006

2. Zhou, G., Ji, Y., Chen, X., Zhang, F.: Artificial neural networks and the mass appraisal of real estate. Int. J. Online Eng. 14(3), 180–187 (2018). https://doi.org/10.3991/ijoe.v14i03.8420

3. Yalpir, S., Durduran, S.S., Unel, F.B., Yolcu, M.: Creating a valuation map in gis through artificial neural network methodology: a case study. Acta Montanistica Slovaca 19(2), 79–89 (2014)

4. Droj, G., Droj, L.: GIS Based Automated Valuation Models – a Genuine Solution for Real Estate Valuation in Romania. “1 Decembrie 1918” University of Alba Iulia, RevCAD 20/2016, pp. 45–52 (2016).

5. Mete, M.O., Yomralioglu, T.: Mass Valuation of Real Estate Using GIS-based Nominal Valuation and Machine Learning Methods. European Real Estate Society, ERES 2022_177, pp. 1–7 (2022).

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