Abstract
Many real estate projects were paralyzed due to a lack of funding, and sales dropped significantly due to COVID-19. This article provides a method to predict the value of real estate in the city of Quito post-pandemic, using a methodology that compares different data mining techniques to achieve the best accuracy. In the end, it has been possible to classify the properties in different sectors of the population under study with a good level of value prediction. It can be concluded that the study based on a review of the appropriate literature, the comparison of different techniques, and the segmentation of the population is a basis for other studies that apply other techniques to further improve the level of prediction.
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Vilca, W., Carrion-Jumbo, J., Riofrío-Luzcando, D., Guevara, C. (2024). Prediction Value of a Real Estate in the City of Quito Post Pandemic. In: Florez, H., Leon, M. (eds) Applied Informatics. ICAI 2023. Communications in Computer and Information Science, vol 1874. Springer, Cham. https://doi.org/10.1007/978-3-031-46813-1_14
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DOI: https://doi.org/10.1007/978-3-031-46813-1_14
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