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

被引：0

作者：

Acciani, Claudio ^{[1
]}

Fucilli, Vincenzo ^{[1
]}

Sardaro, Ruggiero ^{[1
]}

机构：

[1] Univ Bari Aldo Moro, Dept Agroenvironm & Territorial Sci, Bari, Italy

来源：

AESTIMUM | 2011年 / 58卷

关键词：

real estate appraisal; hedonic price method; data mining; model trees; multivariate adaptive regression splines;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：27 / 45

页数：19

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