DocumentCode :
2822217
Title :
Application of Association Rules Data Mining in Effect Rules Discovery of Healthy Housing
Author :
Wang Liang ; Yu Chong-chong ; Liu Jie
Author_Institution :
Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Design of healthy housing produces direct impacts on the health of residents. Conversely, finding out the rules in healthy housing plays an essential role in its appropriate design. Therefore, association rules data mining is used to process the data which come from the residents in the healthy housing, in order to acquire the main factors and rules affecting the healthy living, and further to apply them in the design of healthy housing, so as to improve its quality. Experts´ analysis and evaluation on the pattern generated by data mining tools, as well as the elementary application of actionable knowledge discovery in the effect rules discovery of healthy housing are also discussed.
Keywords :
civil engineering computing; construction industry; data mining; ergonomics; association rules data mining; expert analysis; healthy housing; knowledge discovery; rules discovery effect; Association rules; Data mining; Humans; Itemsets; Manifolds; Physiology; Protection; Security; Sustainable development; Thermal pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5363643
Filename :
5363643
Link To Document :
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