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Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection
Jinan, China October 16-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.179Sixth International Conference on Int ...
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Shihai Zhang, Shujun Liu, Dong Wang, Shihai Zhang, Jinping Ou, Guangyuan Wang, "Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 535-539, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
BibTex
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@article{ 10.1109/ISDA.2006.179,
author = {Shihai Zhang and Shujun Liu and Dong Wang and Shihai Zhang and Jinping Ou and Guangyuan Wang},
title = {Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {535-539},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.179},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection
SN - 0-7695-2528-8
SP535
EP539
A1 - Shihai Zhang,
A1 - Shujun Liu,
A1 - Dong Wang,
A1 - Shihai Zhang,
A1 - Jinping Ou,
A1 - Guangyuan Wang,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Shihai Zhang, Nan Yang Institute of Technology, China
Shujun Liu, Nan Yang Institute of Technology, China
Dong Wang, Nan Yang Institute of Technology, China
Shihai Zhang, Harbin Institute of Technology, China
Jinping Ou, Harbin Institute of Technology, China
Guangyuan Wang, Harbin Institute of Technology, China
First, evaluation indexes of association rule are provided; meaning of them is analyzed; the Apriori arithmetic about knowledge discovery is introduced and its defects are analyzed. Next, a knowledge discovery method of improved Apriori-based high-rise intelligent form selection is established. Finally, examples of this method are presented. This method provides a new approach to mining knowledge information in engineering cases, guiding structural form selection design and to improving quality, efficiency and intelligence level of structural design.
Citation:
Shihai Zhang, Shujun Liu, Dong Wang, Shihai Zhang, Jinping Ou, Guangyuan Wang, "Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection," isda, vol. 1, pp.535-539, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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