Comparison of Ensemble Learning Models with Expert Algorithms Designed for a Property Valuation System

被引：5

作者：

Trawinski, Bogdan ^{[1
]}

Lasota, Tadeusz ^{[2
]}

Kempa, Olgierd ^{[2
]}

Telec, Zbigniew ^{[1
]}

Kutrzynski, Marcin ^{[1
]}

机构：

[1] Wroclaw Univ Sci & Technol, Fac Comp Sci & Management, Wroclaw, Poland

[2] Wroclaw Univ Environm & Life Sci, Dept Spatial Management, Wroclaw, Poland

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2017, PT I | 2017年 / 10448卷

关键词：

Machine learning; Ensemble models; Sales comparison approach; Expert algorithms; Property valuation; Mass appraisal; MASS APPRAISAL; BAGGING ENSEMBLES; FUZZY MODELS;

D O I：

10.1007/978-3-319-67074-4_31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Three expert algorithms based on the sales comparison approach worked out for an automated system to aid in real estate appraisal are presented in the paper. Ensemble machine learning models and expert algorithms for real estate appraisal were compared empirically in terms of their accuracy. The evaluation experiments were conducted using real-world data acquired from a cadastral system maintained in a big city in Poland. The characteristics of applied techniques for real estate appraisal are discussed.

引用

页码：317 / 327

页数：11

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