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International Conference on Computational Collective Intelligence

ICCCI 2019: Computational Collective Intelligence pp 363–376Cite as

Apartment Valuation Models for a Big City Using Selected Spatial Attributes

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11683))

Abstract

This paper addresses a property valuation problem with machine learning models with pre-selection of attributes. The study aimed to examine to what extent the environmental attributes influenced real estate prices. Real-world data about purchase and sale transactions derived from a cadastral system and registry of real estate transactions in one of Polish big cities were employed in the experiments. Machine learning models were built using basic attributes of apartments and environmental ones taken from cadastral maps. Five market segmentations were made including administrative cadastral regions of a city and quality zones delineated by an expert, and classes of apartments. Feature selection was accomplished and property valuation models were built for each division of a city area. The study allowed also for a comparative analysis of performance of ensemble learning techniques applied to construct predictive models.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Michał Talaga, Mateusz Piwowarczyk, Marcin Kutrzyński, Zbigniew Telec & Bogdan Trawiński

  2. Wrocław Institute for the Application of Spatial Information and Artificial Intelligence, Wrocław, Poland

    Tadeusz Lasota

Authors
  1. Michał Talaga
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  2. Mateusz Piwowarczyk
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  3. Marcin Kutrzyński
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  4. Tadeusz Lasota
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  5. Zbigniew Telec
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  6. Bogdan Trawiński
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Corresponding author

Correspondence to Bogdan Trawiński .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l’Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l’Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l’Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Talaga, M., Piwowarczyk, M., Kutrzyński, M., Lasota, T., Telec, Z., Trawiński, B. (2019). Apartment Valuation Models for a Big City Using Selected Spatial Attributes. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_30

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  • DOI: https://doi.org/10.1007/978-3-030-28377-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28376-6

  • Online ISBN: 978-3-030-28377-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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