集合相似度自连接算法研究  

Research on Set Similarity Self Connection Algorithm

作　　者：李享 LI Xiang(Chengdu University of Foreign Languages,Chengdu Sichuan 610000)

机构地区：[1]成都外国语学院,四川成都610000

出　　处：《软件》2024年第4期95-97,共3页Software

摘　　要：在当前信息技术条件下,如何提升数据处理效率成为未来工作中不容忽视的问题,本文在集合相似度融合算法的基础上,介绍集合相似度连接策略,对如何实现集合相似度自连接算法提出合理意见,并通过实验评估方法,综合判断本文方法的技术优势。根据研究结果可知,本文提出的新方法可以显著提升集合相似度计算效率,值得推广。Under the current information technology conditions,how to improve data processing efficiency has become an issue that cannot be ignored in future work.Based on the set similarity fusion algorithm,this article introduces the set similarity connection strategy,proposes reasonable opinions on how to implement the set similarity self connection algorithm,and evaluates the technical advantages of the method comprehensively through experimental evaluation.According to the research results,it can be concluded that the new method proposed in this article can significantly improve the efficiency of set similarity calculation and is worth promoting.

关 键 词：集合相似度 自连接算法 固定步长算法 变步长算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]