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
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;
Conference_Titel :
Computational Electromagnetics and Its Applications, 2004. Proceedings. ICCEA 2004. 2004 3rd International Conference on
Print_ISBN :
0-7803-8562-4
DOI :
10.1109/ICCEA.2004.1459313
