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    A practice mining system for the delivery of sustainable retirement villages

    Access Status
    Fulltext not available
    Authors
    Hu, X.
    Xia, B.
    Chen, Q.
    Skitmore, M.
    Buys, L.
    Wu, Peng
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Hu, X. and Xia, B. and Chen, Q. and Skitmore, M. and Buys, L. and Wu, P. 2018. A practice mining system for the delivery of sustainable retirement villages. Journal of Cleaner Production. 203: pp. 943-956.
    Source Title
    Journal of Cleaner Production
    DOI
    10.1016/j.jclepro.2018.08.184
    ISSN
    0959-6526
    School
    School of Design and the Built Environment
    URI
    http://hdl.handle.net/20.500.11937/72110
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Elsevier Ltd With the wide recognition of sustainable development, a range of sustainable practices has been incorporated into the development and operation of retirement villages to provide a sustainable living environment for residents in Australia. The retirement village sector is seeking effective methods of reusing these historical practices to facilitate the future development and operation of sustainable retirement villages. However, this is challenging and there has been no research to date into this issue. Therefore, this study aims to develop a practice mining system (PMS) to address the research gap. By using multiple case studies for data collection and case-based reasoning (CBR) for data mining, the study develops the CBR-PMS, which comprises a Data Transforming and Location System, a Data Warehouse, and a Data Mining and Reusing Engine. The CBR-PMS is a data management and mining system that can be adopted to retain, capture, reuse, and revise prior sustainable practices to facilitate the future development and operation of sustainable retirement villages. Case studies and expert judgements are used in its demonstrations and validation, and satisfactory performance is achieved. It is concluded that the CBR-PMS is an effective tool for retaining and transferring prior practices and acts as an innovative tool of knowledge management and organizational learning in the retirement living sector. Although the CBR-PMS is at its conceptual stage and requires some automation to make it user-friendly, it provides practical insights into the development of a sustainable living environment and benefits the development of data mining systems for other sustainability initiatives.

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