中圖分類號： TP39
文獻標識碼： A
DOI： 10.19358/j.issn.2096-5133.2020.07.012
引用格式： 李昕，謝穎華. 基于關聯規(guī)則算法的檢查器組優(yōu)化建議機制[J].信息技術與網絡安全，2020，39(7)：67-71.

The optimization suggestion mechanism of checkers based on association rule algorithm

Abstract： Drawing design is the most essential part in industrial production. How to realize a design process with great efficiency and quality is a hotspot issues in manufacturing. This paper introduces an optimization suggestion mechanism of checkers based on association rule mining algorithm, which can reduce the time of check-mate, enhance work efficiency under the premise of ensuring the coverage of the checkers by applying the association rule mining algorithm into the optimization of checkers. Experimental results show that the coverage rate of the optimized checkers in the optimized system can meet the requirements of the actual engineering, which can effectively reduce the scale of the checkers, so as to reduce the time of check-mate, reduce the system resourcee occupation, and improve the working efficiency of users.

Key words : checkers optimization recommendations；association rule mining；model defect analysis