DocumentCode :
3513318
Title :
Research on Flow Object Knowledge Extraction Method
Author :
Qu, Shouning ; Cui, Guangqiang ; Liu, Zhaolian ; Wu, Jinbin
Author_Institution :
Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan
fYear :
2008
fDate :
1-3 Nov. 2008
Firstpage :
706
Lastpage :
711
Abstract :
This paper in view of flow object, through the research for data mining and knowledge discovery technology, has designed the system structure used for flow object knowledge extraction, and has shown related algorithm used for the flow object knowledge extraction. Take the cement production process for an example, it has extracted operation rule in cement calcinations process, proposed suggestive rule for big operation which can result in bigger fluctuation of key parameter, thus to achieve the goal of control effect improvement and the enhancement of installment running stability.
Keywords :
cement industry; data mining; production engineering computing; cement calcinations process; cement production process; data mining; flow object knowledge extraction method; knowledge discovery; Association rules; Biomedical engineering; Data engineering; Data mining; Databases; Design engineering; Energy consumption; Industrial economics; Intelligent networks; Production; Association Rule; Data Acquisition; Data Mining; Flow Object;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
Type :
conf
DOI :
10.1109/ICINIS.2008.33
Filename :
4683323
Link To Document :
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