Correlation Analysis of Print Inspection Data Based on Optimized Apriori Algorithm
In order to solve the printing defect detection problem in printing companies.Optimization of Apriori correlation analysis mining method is used so as to find out the correlation relationship between printing defect detection data.Firstly,the construction of printing factory management and printing data collection system is carried out.Secondly,the optimization of the operation efficiency of Apriori algorithm is carried out.Finally,the correlation analysis is carried out to derive the correlation rules between the production data.Experiments show that this method is feasible in the analysis of printing defect detection data,and has an important guiding role in reducing the printing defect rate.