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Title: Attribute selection in hedonic pricing modeling applied to the Portuguese urban housing market
Author: Batista, Paulo
Castillo, Gladys
Marques, João L.
Castro, Eduardo A.
Keywords: Feature selection
Regression model
Hedonic pricing modeling
Data mining
Issue Date: 10-Oct-2011
Abstract: One of the challenges associated with studying the housing market is related to the need to handle a high amount of variables. In this context, data mining techniques, and more specifically, feature selection methods allow the selection of relevant variables efficiently. Results from the application of eight different methodologies for feature selection with a real dataset on the urban housing market of Aveiro and Ílhavo municipalities show that we can build hedonic models with an acceptable explanatory power of housing prices while considerable reducing their complexity.
Peer review: yes
Appears in Collections:DCSPT - Capítulo de livro
DMat - Capítulo de livro

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