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dc.contributor.authorChan, Felix
dc.contributor.authorSchulz, Rainer
dc.contributor.authorZhang, Zhuoran
dc.date.accessioned2023-10-24T07:17:00Z
dc.date.available2023-10-24T07:17:00Z
dc.date.issued2023
dc.identifier.citationChan, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/93604
dc.identifier.doi10.36334/modsim.2023.chan39
dc.relation.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAn application of machine learning in real estate economics: What extra benefits could machine learning techniques provide?
dc.typeConference Paper
dcterms.source.issn2981-8001
dcterms.source.isbn978-0-9872143-0-0
dcterms.source.conferenceMODSIM2023, 25th International Congress on Modelling and Simulation
dcterms.source.conference-start-date9 July 2023
dcterms.source.conferencelocationDarwin, Northern Territory
dc.date.updated2023-10-24T07:16:59Z
curtin.note

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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.

curtin.departmentSchool of Accounting, Economics and Finance
curtin.accessStatusOpen access
curtin.facultyFaculty of Business and Law
curtin.contributor.orcidChan, Felix [0000-0003-3045-7178]
dcterms.source.conference-end-date14 July 2023
curtin.contributor.scopusauthoridChan, Felix [7202586446]
curtin.repositoryagreementV3


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