Title
Comparative Analysis of Regression Tree Models for Premises Valuation Using Statistica Data Miner
Abstract
Several dozen of experiments were conducted with Statistica Data Miner in order to assess the suitability of different machine learning algorithms for an Internet expert system to assist with real estate appraisal. The investigations concentrated first of all on regression trees and ensemble tree models. Moreover, decision tree approaches were compared with commonly used algorithms as KNN, SVM and a multilayer perceptron neural network. The results provided by the collection of twelve predictive accuracy measures were also analyzed. The study proved the usefulness of majority of algorithms to build the real estate valuation models.
Year
DOI
Venue
2009
10.1007/978-3-642-04441-0_68
ICCCI
Keywords
Field
DocType
twelve predictive accuracy measure,internet expert system,regression tree,comparative analysis,premises valuation,decision tree approach,ensemble tree model,real estate appraisal,real estate valuation model,regression tree models,different machine,multilayer perceptron neural network,statistica data miner,multilayer perceptron,machine learning,real estate,neural network,expert system,decision tree
Data mining,Decision tree,Real estate,Real estate appraisal,Regression,Computer science,Support vector machine,Expert system,Artificial intelligence,Valuation (finance),Machine learning,Incremental decision tree
Conference
Volume
ISSN
Citations 
5796
0302-9743
3
PageRank 
References 
Authors
0.47
8
3
Name
Order
Citations
PageRank
Tadeusz Lasota134825.33
Piotr Sachnowski230.47
Bogdan Trawiński328824.72