现代电子技术2017，Vol.40Issue(14)：23-25,29,4.DOI:10.16652/j.issn.1004-373x.2017.14.006
关联规则中基于模糊遗传算法的研究与改进挖掘技术
Research and improvement of association rule mining technology based on fuzzy genetic algorithm
摘要
Abstract
Network data usually appears in the form of explosive gather,which may lead to a bad performance of the association rule mining method proposed in the past.Based on the above reasons,a kind of association rule mining method based on fuzzy genetic algorithm (GA) is put forward in this paper,in which the mining model is built to fuse association rules and fuzzy genetic algorithm,and then give to the fitness function of the waiting mining data,and use threshold to limit it.Fuzzy genetic algorithm is used for cross distribution and compiling allocation of the fitness function to improve the method's membership degree linear state,and get more efficient mining results.The experimental results show that the improved method has strong mining stability,high mining precision and less mining time.关键词
关联规则/模糊遗传算法/挖掘技术/挖掘精度Key words
association rule/fuzzy genetic algorithm/mining technology/mining accuracy分类
信息技术与安全科学引用本文复制引用
张军,刘文杰..关联规则中基于模糊遗传算法的研究与改进挖掘技术[J].现代电子技术,2017,40(14):23-25,29,4.基金项目
国家自然科学基金青年项目(61501247) （61501247）
