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    An application of machine learning in real estate economics: What extra benefits could machine learning techniques provide?

    93411.pdf (1.682Mb)
    Access Status
    Open access
    Authors
    Chan, Felix
    Schulz, Rainer
    Zhang, Zhuoran
    Date
    2023
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Chan, F. and Schulz, R and Zhang, Z. 2023. An application of machine learning in real estate economics: What extra benefits could machine learning techniques provide? In: MODSIM2023 25th International Congress on Modelling and Simulation. 9-14 July 2023, Darwin, Northern Territory.
    Source Conference
    MODSIM2023, 25th International Congress on Modelling and Simulation
    DOI
    10.36334/modsim.2023.chan39
    Additional URLs
    http://creativecommons.org/licenses/by/4.0/
    ISBN
    978-0-9872143-0-0
    ISSN
    2981-8001
    Faculty
    Faculty of Business and Law
    School
    School of Accounting, Economics and Finance
    Remarks

    Copyright statement

    These proceedings are licensed under the terms of the Creative Commons Attribution 4.0 International CC BY License (http://creativecommons.org/licenses/by/4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you attribute MSSANZ and the original author(s) and source, provide a link to the Creative Commons licence and indicate if changes were made. Images or other third party material are included in this licence, unless otherwise indicated in a credit line to the material.

    Individual MODSIM papers are copyright of the Authors and Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ). MSSANZ is the publisher of the MODSIM Proceedings.

    URI
    http://hdl.handle.net/20.500.11937/93604
    Collection
    • Curtin Research Publications
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