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An Analysis of Change Trends by Predicting from a Data Stream Using Neural Networks

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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

A method to predict from a data stream of real estate sales transactions based on ensembles of artificial neural networks was proposed. The approach 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 trend functions on the accuracy of ensemble neural models was investigated in the paper. The results indicate it is necessary to make selection of correcting functions appropriate to the nature of market changes.

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Author information

Authors and Affiliations

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

    Zbigniew Telec & Bogdan Trawiński

  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. Zbigniew Telec
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  2. Tadeusz Lasota
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  3. Bogdan Trawiński
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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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Telec, Z., Lasota, T., Trawiński, B., Trawiński, G. (2013). An Analysis of Change Trends by Predicting from a Data Stream Using Neural Networks. 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_51

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  • DOI: https://doi.org/10.1007/978-3-642-40769-7_51

  • 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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