Title | ||
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Comparative Analysis of Regression Tree Models for Premises Valuation Using Statistica Data Miner |
Abstract | ||
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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 Lasota | 1 | 348 | 25.33 |
Piotr Sachnowski | 2 | 3 | 0.47 |
Bogdan Trawiński | 3 | 288 | 24.72 |