DocumentCode :
458862
Title :
Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection
Author :
Shihai Zhang ; Shujun Liu ; Dong Wang ; Jinping Ou ; Guangyuan Wang
Author_Institution :
Dept. of Civil Eng., Nan Yang Inst. of Technol., Nanyang
Volume :
1
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
535
Lastpage :
539
Abstract :
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
Keywords :
data mining; structural engineering computing; Apriori arithmetic; association rules; improved Apriori-based high-rise structure intelligent form selection; knowledge discovery; structural design; Arithmetic; Association rules; Buildings; Civil engineering; Data mining; Intelligent structures; Itemsets; Knowledge engineering; Sea measurements; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.179
Filename :
4021495
Link To Document :
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