DocumentCode
3448212
Title
Association rules data mining in manufacturing information system based on genetic algorithms
Author
Li, Cunrong ; Yang, Mingzhong
Author_Institution
Mechatronics Sch., Wuhan Univ. of Technol., China
fYear
2004
fDate
1-4 Nov. 2004
Firstpage
153
Lastpage
156
Abstract
In the process of the traditional association rule algorithm, because of the large frequent item set, the algorithm usually has very low efficiency. In this paper, a genetic algorithm is put into use, mining the association rules, oriented to the data set in a manufacturing information system (MIS). A corresponding algorithm is also realized. According to the test results, a conclusion is drawn that the genetic algorithm has considerably higher efficiency.
Keywords
data mining; genetic algorithms; management information systems; manufacturing data processing; MS; association rule algorithm efficiency; association rules data mining; frequent item set; genetic algorithms; knowledge discovery; manufacturing information systems; Algorithm design and analysis; Application software; Association rules; Data mining; Databases; Delta modulation; Genetic algorithms; History; Information systems; Manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Electromagnetics and Its Applications, 2004. Proceedings. ICCEA 2004. 2004 3rd International Conference on
Print_ISBN
0-7803-8562-4
Type
conf
DOI
10.1109/ICCEA.2004.1459313
Filename
1459313
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