Have a personal or library account? Click to login
Real Estate Market Price Prediction Model of Istanbul Cover

Real Estate Market Price Prediction Model of Istanbul

By: Mert Tekin and  Irem Ucal Sari  
Open Access
|Dec 2022

References

  1. Abidoye, R., & Chan, A. (2017). Modeling property values in Nigeria using artificial neural network. Journal of Property Research, 34, 36–53. https://doi.org/10.1080/09599916.2017.1286366
  2. Abraham, M. (2016). Determinants of residential property value in New Zealand: a neural network approach. Department of Applied Business, New Zealand Government Institute of Technology. Whitireia.10.2139/ssrn.2866115
  3. Breiman, L. (2001). Machine Learning. Machine Learning, 45, 5–32. https://doi.org/10.1023/A:1010933404324
  4. Case, B., Clapp, J., Dubin, R., & Rodriguez, M. (2004). Modeling spatial and temporal house price patterns: A comparison of four models. The Journal of Real Estate Finance and Economics, 29, 167–191. Advance online publication. https://doi.org/10.1023/B:REAL.0000035309.60607.53
  5. Cebula, R. (2009). The hedonic pricing model applied to the housing market of the city of Savannah and its Savannah Historic Landmark District. The Review of Regional Studies, 39(1), 9–22.10.52324/001c.8197
  6. Central Bank of the Republic of TurkeyResidential Property Price Index Report (October 2020). https://www.tcmb.gov.tr/wps/wcm/connect/21c8c007-4006-45ee-bbc2-852f396a23f0/RPPI.pdf?MOD=AJPERES&CACHEID=ROOTWORKSPACE-21c8c007-4006-45eebbc2-852f396a23f0-npHk6EW
  7. Ecer, F. (2014). Comparision of hedonic regression method and artificial neural networks to predict housing prices in Turkey. International Conference On Eurasian Economies, 1-10.10.36880/C05.01150
  8. Eriki, P., & Udegbunam, R. (2007). Application of neural network in evaluating prices of housing units in Nigeria: a preliminary investigation. Journal of Artificial Intelligence, 1(1), 21-27. https://doi.org/10.3923/jai.2008.21.27.
  9. Fan, G.-Z., Ong, S. E., & Koh, H. C. (2006). Determinants of House Price: A DecisionTreeApproach. Urban Studies (Edinburgh, Scotland), 43(12), 2301–2315. https://doi.org/10.1080/00420980600990928
  10. Fix, J. F., Frezza-Buet, H. F. B., Geist, M. G., & Pennerath, F. P. (2019). Machine learning (Revised ed.). CentraleSupélec., http://sirien.metz.supelec.fr/depot/SIR/CoursML/Poly-ML-SIR.pdf
  11. Górak, M. (2017). Employing linear artificial neural networks in property appraisal and valuation -possible applications. Geomatics, Land Management and Landscape, 1(1), 17–24. https://doi.org/10.15576/GLL/2017.1.17
  12. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2016). An introduction to statistical learning: with applications in R (Springer Texts in Statistics). 1st ed. 2013, Corr. 7th printing 2017 ed.. Springer.
  13. Khalafallah, A. (2008). Neural network based model for predicting housing market performance. Tsinghua Science and Technology, 13, 325–328. https://doi.org/10.1016/S1007-0214(08)70169-X
  14. Kuşan, H., Aytekin, O., & Özdemir, İ. (2010). The use of fuzzy logic in predicting house selling price. Expert Systems with Applications, 37, 1808–1813. https://doi.org/10.1016/j.eswa.2009.07.031
  15. Liu, L., & Wu, L. (2020). Predicting housing prices in China based on modified Holt’s exponential smoothing incorporating whale optimization algorithm. Socio-Economic Planning Sciences, 72, 100916. https://doi.org/10.1016/j.seps.2020.100916
  16. Liu, R., & Liu, L. (2019). Predicting housing price in China based on long short-term memory incorporating modified genetic algorithm. Soft Computing, 23, 11829–11838. Advance online publication. https://doi.org/10.1007/s00500-018-03739-w
  17. Mimis, A., Rovolis, A., & Stamou, M. (2013). Property valuation with artificial neural network: The case of Athens. Journal of Property Research, 30, 128–143. Advance online publication. https://doi.org/10.1080/09599916.2012.755558
  18. Mora-Esperanza, J. G. (2004). Artificial intelligence applied to real estate valuation: An example for the appraisal of Madrid. Catastro, 1, 255–265.
  19. Nghiep, N., & Al, C. (2001). Predicting housing value: a comparison of multiple regression analysis and artificial neural networks. Journal of Real Estate Research, 22, 313–336. https://doi.org/10.1080/10835547.2001.12091068
  20. Park, B., & Bae, J. K. (2015). Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data. Expert Systems with Applications, 42, 2928–2934. Advance online publication. https://doi.org/10.1016/j.eswa.2014.11.040. Erratum: https://doi.org/10.1016/j.eswa.2015.03.005.
  21. Que, A. Q. (2015). Mathematics of polynomial regression. Polynomial Regression. http://polynomialregression.drque.net/math.html
  22. Selim, H. (2009). Determinants of house prices in Turkey: hedonic regression versus artificial neural network. Expert Systems with Applications, 36, 2843–2852. https://doi.org/10.1016/j.eswa.2008.01.044
  23. Thanasi (Boçe), M. (2016). Hedonicappraisal of apartments in Tirana. International Journal of HousingMarkets and Analysis., 9, 239–255. https://doi.org/10.1108/IJHMA-03-2015-0016
  24. Wang, X., Wen, J., Zhang, Y., & Wang, Y. (2014). Real estate price forecasting based on SVM optimized by PSO. Optik (Stuttgart), 125, 1439–1443. https://doi.org/10.1016/j.ijleo.2013.09.017
  25. Yayar, R., & Gül, D. (2014). Mersin kent merkezinde konut piyasası fiyatlarının hedonik tahmini [Hedonic estimation of housing market prices in Mersin city center]. Anadolu University Journal of Social Sciences Anadolu Üniversitesi Sosyal Bilimler Dergisi., 14, 87–100.
  26. Yılmazel, Ö., Afşar, A., & Yılmazel, S. (2018). Konut Fïyat Tahmïnïnde Yapay Sïnïr Ağlari Yöntemïnïn Kullanilmasi. International Journal of Economic &Administrative Studies, 20, 285–299. https://doi.org/10.18092/ulikidince.341584
  27. Zurada, J., Levitan, A., & Guan, J. (2006). Non-conventional approaches to property value assessment. Journal of Applied Business Research, 22, 1–14. https://doi.org/10.19030/jabr.v22i3.1421
Language: English
Page range: 1 - 16
Published on: Dec 9, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Mert Tekin, Irem Ucal Sari, published by Real Estate Management and Valuation
This work is licensed under the Creative Commons Attribution 4.0 License.