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
收藏
页码：27 / 45
页数：19
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