Case-based Reasoning and Text Mining for Green Building Decision Making

Xue Xiao; Martin Skitmore; Xin Hu

doi:10.1016/j.egypro.2017.03.203

Case-based Reasoning and Text Mining for Green Building Decision Making

Xue Xiao^*
, Martin Skitmore
, Xin Hu

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

16 Citations (Scopus)

148 Downloads (Pure)

Abstract

There are great benefits to be obtained by sharing previous experiences in meeting the needs of the standard evaluation systems for green building around the world. To date, there are no existing methods available that enable this to take place in a systematic way. This paper addresses the issue by developing a green building experience-mining (GBEM) model that enables previous green building solutions to be adapted for a new situation. A database of 10 cases is used to demonstrate and evaluate the effectiveness of the GBEM model. The results confirm the model's potential to facilitate users in the selection of the solutions when addressing new green building challenges.

Original language	English
Pages (from-to)	417-425
Number of pages	9
Journal	Energy Procedia
Volume	111
DOIs	https://doi.org/10.1016/j.egypro.2017.03.203
Publication status	Published - 1 Mar 2017
Externally published	Yes
Event	8th International Conference on Sustainability in Energy and Buildings, SEB 2016 - Turin, Italy Duration: 11 Sept 2016 → 13 Sept 2016

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AB - There are great benefits to be obtained by sharing previous experiences in meeting the needs of the standard evaluation systems for green building around the world. To date, there are no existing methods available that enable this to take place in a systematic way. This paper addresses the issue by developing a green building experience-mining (GBEM) model that enables previous green building solutions to be adapted for a new situation. A database of 10 cases is used to demonstrate and evaluate the effectiveness of the GBEM model. The results confirm the model's potential to facilitate users in the selection of the solutions when addressing new green building challenges.

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ER -

Case-based Reasoning and Text Mining for Green Building Decision Making

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