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Weighting Component Models by Predicting from Data Streams Using Ensembles of Genetic Fuzzy Systems

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Flexible Query Answering Systems (FQAS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8132))

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Abstract

Our recently proposed method to predict from a data stream of real estate sales transactions based on ensembles of genetic fuzzy systems was extended to include weighting component models. The method consists in incremental expanding an ensemble by models built over successive chunks of a data stream. The predicted prices of residential premises computed by aged component models for current data are updated according to a trend function reflecting the changes of the market. The impact of different techniques of weighting component models on the accuracy of an ensemble was compared in the paper. Three techniques of weighting component models were proposed: proportional to their estimated accuracy, time of ageing, and dependent on property market fluctuations.

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Author information

Authors and Affiliations

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

    Bogdan Trawiński & Magdalena Smętek

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

    Tadeusz Lasota

  3. Faculty of Electronics, Wrocław University of Technology, Wybrzeże S. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Grzegorz Trawiński

Authors
  1. Bogdan Trawiński
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  2. Tadeusz Lasota
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  3. Magdalena Smętek
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  4. Grzegorz Trawiński
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Editor information

Editors and Affiliations

  1. Department of Electronic Systems, Aalborg University, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

  2. Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    Maria J. Martin-Bautista

  3. Department of Computer Science and Arificial IntelIigence, University of Granada, 18071, Granada, Spain

    María Amparo Vila

  4. CBIT, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark

    Troels Andreasen

  5. CBIT, Roskilde University, 4000, Roskilde, Denmark

    Henning Christiansen

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Trawiński, B., Lasota, T., Smętek, M., Trawiński, G. (2013). Weighting Component Models by Predicting from Data Streams Using Ensembles of Genetic Fuzzy Systems. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_49

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  • DOI: https://doi.org/10.1007/978-3-642-40769-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40768-0

  • Online ISBN: 978-3-642-40769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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