Comparative Analysis of Regression Tree Models for Premises Valuation Using Statistica Data Miner
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Comparative Analysis of Premises Valuation Models Using KEEL, RapidMiner, and WEKA
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Comparative Analysis of Evolutionary Fuzzy Models for Premises Valuation Using KEEL
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
WSEAS TRANSACTIONS on SYSTEMS
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The experiments aimed to compare data driven soft computing models for the valuation of residential premises were conducted using the KEEL tool (Knowledge Extraction based on Evolutionary Learning). Twelve regression algorithms were applied to actual data sets derived from the cadastral system and the registry of real estate transactions. The 5x2-fold cross validation and nonparametric statistical tests were applied. The results proved the usefulness of the tool to carry out laborious investigation in a relatively short time. Further research is needed to determine to what extent data coming from such sources allow to build the real estate valuation models.