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Machine Learning Methods for BIM Data

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Intelligent Information and Database Systems (ACIIDS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13758))

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Abstract

This paper presents a survey of machine learning methods used in applications dedicated to building and construction industry. A BIM model being a database system for civil engineering data is presented. A representative selection of methods and applications is described. The aim of this paper is to facilitate the continuation of research efforts and to encourage bigger participation of researchers in database systems in the filed of civil engineering.

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Authors and Affiliations

  1. Institute of Applied Computer Science, Jagiellonian University, Lojasiewicza 11, 30-059, Kraków, Poland

    Grażyna Ślusarczyk & Barbara Strug

Authors
  1. Grażyna Ślusarczyk
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  2. Barbara Strug
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Corresponding author

Correspondence to Barbara Strug .

Editor information

Editors and Affiliations

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

    Ngoc Thanh Nguyen

  2. Vietnam National University, Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Tien Khoa Tran

  3. Al-Farabi Kazakh National University, Almaty, Kazakhstan

    Ualsher Tukayev

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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

    Bogdan Trawiński

  6. University of Newcastle, Newcastle, NSW, Australia

    Edward Szczerbicki

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Ślusarczyk, G., Strug, B. (2022). Machine Learning Methods for BIM Data. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13758. Springer, Cham. https://doi.org/10.1007/978-3-031-21967-2_19

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  • DOI: https://doi.org/10.1007/978-3-031-21967-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21966-5

  • Online ISBN: 978-3-031-21967-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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