Data mining in real estate appraisal: a model tree and multivariate adaptive regression spline approach1

Data mining in real estate appraisal: a model tree and multivariate adaptive regression spline approach1

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...

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Veröffentlicht in:Ce.S.E.T. Aestimum 2011-06 (58), p.27
Hauptverfasser: Acciani, Claudio, Fucilli, Vincenzo, Sardaro, Ruggiero
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Data mining
Datasets
Dependent variables
Forecasting techniques
Market segments
Multivariate analysis
Open source software
Prediction models
Real estate appraisal
Regression analysis
Standard deviation
Studies
Variables
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Zusammenfassung: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. [PUBLICATION ABSTRACT]
ISSN:1592-6117
1724-2118