Association rules data mining in manufacturing information system based on genetic algorithms
Mingzhong Yang Cunrong Li · Proceedings. ICCEA 2004. 2004 3rd International Conference on Computational Electromagnetics and Its Applications, 2004. · 2005
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.