TY - JOUR
T1 - Case-based Reasoning and Text Mining for Green Building Decision Making
AU - Xiao, Xue
AU - Skitmore, Martin
AU - Hu, Xin
N1 - Publisher Copyright:
© 2017 Published by Elsevier B.V.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85017224079&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2017.03.203
DO - 10.1016/j.egypro.2017.03.203
M3 - Article
AN - SCOPUS:85017224079
SN - 1876-6102
VL - 111
SP - 417
EP - 425
JO - Energy Procedia
JF - Energy Procedia
T2 - 8th International Conference on Sustainability in Energy and Buildings, SEB 2016
Y2 - 11 September 2016 through 13 September 2016
ER -