In this paper we adopt two exploratory modelling techniques: Model Trees and Multivariate Adaptive Regression Splines. The objective is the building of two sale price prediction models in order to highlight possible market segments not detectable a priori. We show how these novel procedures can help to understand complex patterns and interactions among predictors in real estate appraisal.

Data mining in real estate appraisal: a model tree and multivariate adaptive regression spline approach

ACCIANI, Claudio;FUCILLI, Vincenzo;SARDARO, RUGGIERO
2011

Abstract

In this paper we adopt two exploratory modelling techniques: Model Trees and Multivariate Adaptive Regression Splines. The objective is the building of two sale price prediction models in order to highlight possible market segments not detectable a priori. We show how these novel procedures can help to understand complex patterns and interactions among predictors in real estate appraisal.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/25195
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