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Case-based reasoning and text mining for green building decision making

conference contribution
posted on 2017-03-01, 00:00 authored by Xue Xiao, Martin Skitmore, Xin HuXin Hu
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.

History

Volume

111

Pagination

417-425

Location

Turin, Italy

Open access

  • Yes

Start date

2016-09-11

End date

2016-09-13

ISSN

1876-6102

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2017, Elsevier Ltd.

Editor/Contributor(s)

Howlett R, Capozzoli A, Serra V

Title of proceedings

SEB-16 : Proceedings of the 8th International Conference on Sustainability in Energy and Buildings 2016

Event

International Association of Building Physics. Conference (8th : 2016 : Turin, Italy)

Publisher

Elsevier

Place of publication

Amsterdam, The Netherlands

Series

International Association of Building Physics Conference