Please use this identifier to cite or link to this item:
Title: An integrated system of text mining technique and case-based reasoning (TM-CBR) for supporting green building design
Authors: Shen, LY
Yan, H
Fan, HQ 
Wu, Y
Zhang, Y
Keywords: Green building design
Case-based reasoning
Tat Mining
Case representation
Case retrieval
Issue Date: 2017
Publisher: Pergamon Press
Source: Building and environment, 2017, v. 124, p. 388-401 How to cite?
Journal: Building and environment 
Abstract: Green building has been commonly accepted as an important strategy adopted by governments around the world for mitigating climate change and energy shortage problem. However, the selection and application of green building technologies under different situations usually puzzles designers, although various advanced technologies for green building are available. This study therefore introduces an integrated system of text mining and case-based reasoning (TM-CBR) to help designers retrieve the most similar green building cases for references when producing design for new green buildings. It is the first attempt in this study to integrate text mining technique into a CBR system to improve the efficiency of decision making in green building design. There are two major components of TM-CBR, case representation and case retrieval. Two kinds of case features, namely, identified features and textual features are used collectively to represent a green building case. Four value formats are considered to measure local similarity in the process of case retrieval. Seven cases are chosen randomly from 71 LEED collected cases as the target cases to test the effectiveness of the TM-CBR system. This study provides a new approach to retrieve the successful experience from similar previous cases to improve the effectiveness and adequacy of green building design.
ISSN: 0360-1323
EISSN: 1873-684X
DOI: 10.1016/j.buildenv.2017.08.026
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Dec 13, 2018


Last Week
Last month
Citations as of Dec 13, 2018

Page view(s)

Last Week
Last month
Citations as of Dec 9, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.