Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Şükran Yalpır"'
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 4, Pp 531-560 (2024)
The use of machine learning in real estate is quite new. When the working area is large, the factors affecting the price may vary according to the geographical regions and socioeconomic factors. It is thought that the price prediction performance of
Externí odkaz:
https://doaj.org/article/f0da5beba93b487aadbe6d65a4fa7f42
Publikováno v:
Iconarp International Journal of Architecture and Planning, Vol 10, Iss 1 (2022)
In this study, for mass real estate appraisal forecasting, the hybrid mathematical model has been developed by combining Cobb-Douglas one of the nonlinear regression models, and linear modeling. The real estate attributes that create the model were g
Externí odkaz:
https://doaj.org/article/aa9be5102cd34f2dadd9576a1738d816
Autor:
Fatma Bunyan Unel, Sukran Yalpir
Publikováno v:
International Journal of Strategic Property Management, Vol 23, Iss 3 (2019)
Predicting the value of real estate is a complex endeavor due to the abundance of subjective criteria. Objective consideration of the value-affecting criteria in real estate and regulation of decision support systems will enable the acquisition of mo
Externí odkaz:
https://doaj.org/article/ccbbba0aea1a429fb06d38a2d517cda2
Autor:
Sukran Yalpir, Gulgun Ozkan
Publikováno v:
International Journal of Strategic Property Management, Vol 22, Iss 2 (2018)
There has been an increasing concern on the development of alternative approaches to overcome the problems and deficiencies that occur during the application of real-estate valuation methods. This study was established to investigate the usability of
Externí odkaz:
https://doaj.org/article/5eefa8e6f85047389e7aeeaf586abdf4