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dc.contributor.authorHu, X.
dc.contributor.authorXia, B.
dc.contributor.authorChen, Q.
dc.contributor.authorSkitmore, M.
dc.contributor.authorBuys, L.
dc.contributor.authorWu, Peng
dc.date.accessioned2018-12-13T09:12:23Z
dc.date.available2018-12-13T09:12:23Z
dc.date.created2018-12-12T02:46:35Z
dc.date.issued2018
dc.identifier.citationHu, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72110
dc.identifier.doi10.1016/j.jclepro.2018.08.184
dc.description.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.

dc.publisherElsevier
dc.titleA practice mining system for the delivery of sustainable retirement villages
dc.typeJournal Article
dcterms.source.volume203
dcterms.source.startPage943
dcterms.source.endPage956
dcterms.source.issn0959-6526
dcterms.source.titleJournal of Cleaner Production
curtin.departmentSchool of Design and the Built Environment
curtin.accessStatusFulltext not available


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