Optimizing Real Estate Prediction - A Comparative Analysis of Ensemble and Regression Models-Reference-Cited by-同舟云学术

Optimizing Real Estate Prediction - A Comparative Analysis of Ensemble and Regression Models

Published:2024 Issue: Volume: Page:142-150
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:en
Short-container-title:

Author:

Prasad Runkana Durga^ORCID,Varma Vemulamanda Jaswanth^ORCID,Jyothi Uppalapati Padma^ORCID,Shankar Sarakanam Sai^ORCID,Deenakonda Mamatha^ORCID,Narasimharao Kandula^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48888-7_12

Reference27 articles.

1. Brueggeman, W.B., Fisher, J.D.: Real Estate Finance and Investments. McGraw-Hill Irwin, New York (2011)

2. Ghysels, E., et al.: Forecasting real estate prices. In: Handbook of Economic Forecasting 2, 509-580 (2013). https://doi.org/10.1016/B978-0-444-53683-9.00009-8

3. Saiz, A., Salazar Miranda, A.: Real trends: the future of real estate in the United States. MIT Center for Real Estate Research Paper 5 (2017)

4. Kumari, K.R., Gayathri, T., Madhavi, T.: Machine learning technique with spider monkey optimization for COVID-19 sentiment analysis. In: 2022 International Conference on Computing, Communication and Power Technology (IC3P). IEEE (2022)

5. Del Giudice, V., De Paola, P., Del Giudice, F.P.: COVID-19 infects real estate markets: short and mid-run effects on housing prices in Campania region (Italy). Soc. Sci 9(7), 114 (2020)

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