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A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles

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Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

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Abstract

The multi-agent system for real estate appraisals MAREA was extended to include aggregating agents, which could create ensemble models applying the bagging approach, was presented in the paper. The major part of the study was devoted to investigate to what extent bagging approach could lead to the improvement of the accuracy machine learning regression models. Four algorithms implemented in the KEEL tool, including linear regression, decision trees for regression, support vector machines, and artificial neural network of MLP type, were used in the experiments. The results showed that bagging ensembles ensured higher prediction accuracy than single models.

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Author information

Authors and Affiliations

  1. Dept. of Spatial Management, Wrocław University of Environmental and Life Sciences, Ul. Norwida 25/27, 50-375, Wroclaw, Poland

    Tadeusz Lasota

  2. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Zbigniew Telec & Bogdan Trawiński

  3. European Centre for Soft Computing, Edificio Científico-Tecnológico, 3a Planta, C. Gonzalo Gutiérrez Quirós S/N, 33600, Mieres, Asturias, Spain

    Krzysztof Trawiński

Authors
  1. Tadeusz Lasota
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  2. Zbigniew Telec
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  3. Bogdan Trawiński
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  4. Krzysztof Trawiński
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Centre for Complex Software Systems and Services, Swinburne University of Technology, Hawthorn, P.O. Box 218, 3122, Victoria, Australia

    Ryszard Kowalczyk

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, G#43, Sec. 4, Keelung Rd, 106, Taipei, Taiwan, R.O.C.

    Shyi-Ming Chen

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© 2009 Springer-Verlag Berlin Heidelberg

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Lasota, T., Telec, Z., Trawiński, B., Trawiński, K. (2009). A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_71

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  • DOI: https://doi.org/10.1007/978-3-642-04441-0_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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