A Comparative Study of Machine Learning and Spatial Interpolation Methods for Predicting House Prices
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References listed on IDEAS
- Jose M. Montero & Beatriz Larraz, 2011. "Interpolation methods for geographical data: Housing and commercial establishment markets," Journal of Real Estate Research, American Real Estate Society, vol. 33(2), pages 233-244.
- Noel Cressie & Gardar Johannesson, 2008. "Fixed rank kriging for very large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 209-226, February.
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- Szentesi Silviu Gabriel & Pantea Mioara Florina & Trifan Vanina Adoriana & Mazuru Luminița Ioana & Szentesi Noemi Florina Gabriela, 2024. "Standardization of Regression Equation Parameters in the Case of Multiple Linear Regression for an Econometric Model Development to Determine the Price of Apartments," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 2344-2352.
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Keywords
house prices; machine learning; spatial interpolation; neural networks; random forests; real estate transactions data;All these keywords.
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