基于关联规则算法的检查器组优化建议机制  

The optimization suggestion mechanism of checkers based on association rule algorithm

作　　者：李昕 谢颖华[1] Li Xin;Xie Yinghua(School of Information Science and Technology,Donghua University,Shanghai 201620,China)

机构地区：[1]东华大学信息科学与技术学院,上海201620

出　　处：《信息技术与网络安全》2020年第7期67-71,共5页Information Technology and Network Security

摘　　要：工业生产过程中,图纸设计是最关键的一步,如何实现效率与质量并存的设计流程是生产制造业中的热点问题。介绍了一种基于关联规则挖掘算法的检查器组优化建议机制,该机制将关联规则挖掘算法用于检查器组的优化,以实现在保证检查器组覆盖率的前提下,缩短检查用时,提高工作效率。实验表明,该优化系统中优化后的检查器组覆盖率满足实际工程的需求,能有效地缩减检查器组的规模,从而节约检查时间,减少系统资源占用,提高用户的工作效率。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.

关 键 词：检查器组优化建议 关联规则挖掘 模型缺陷分析 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]