DocumentCode :
3162263
Title :
Arithmetic of associated rule discovery based on Information Granulation & its application of evaluation for equipment command system
Author :
Chen, Xiaoshan ; Zhu, JianChong
Author_Institution :
Dept. of Manage. Sci., Naval Univ. of Eng., Wuhan, China
fYear :
2011
fDate :
16-18 April 2011
Firstpage :
4810
Lastpage :
4812
Abstract :
An improved arithmetic on associated rule discovery is designed for disadvantage of Apriori arithmetic, which adopts Information Granulation method attributed to Rough Sets theory. As can be seen from the result of the evaluation instance about associated rule discovery for equipment command system, its validity is certain.
Keywords :
data mining; rough set theory; associated rule discovery; equipment command system; information granulation method; rough set theory; Cognition; Computational modeling; Fuzzy set theory; Gold; Manufacturing; Presses; Rough sets; Associated Rule Discovery; Fuzzy Information Granulation; Rough Sets Theory; equipment command; system evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
Type :
conf
DOI :
10.1109/CECNET.2011.5768960
Filename :
5768960
Link To Document :
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