Association rules data mining in manufacturing information system based on genetic algorithms

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.