摘要
由于数据库中数据量较为庞大,且数据类型繁多,在设计数据库自动化检索系统的过程中,往往缺乏对数据的挖掘,导致检索结果不准确。为此,现提出基于关联规则挖掘算法的大规模数据库自动化检索系统。在硬件设计上,设计了微处理器和存储器;在软件设计上,先对大规模数据库中的数据进行融合处理,通过计算数据的关联损失量,对其进行特征分析,在关联规则挖掘算法的作用下,分析数据之间的关联规则,并计算关联规则的置信度,由此构建数据库索引结构,由此输出数据库自动化检索结果。通过上述软硬件的设计,完成对大规模数据库自动化检索系统的设计。在实验测试中,设计的基于关联规则挖掘算法的大规模数据库自动化检索系统在实际应用中检索覆盖率较高,检索效果较好。
Due to the large amount of data in databases and the variety of data types,there is often a lack of data mining in the design of automated database retrieval systems,resulting in inaccurate retrieval results.Therefore,a large⁃scale database automated retrieval system based on association rule mining algorithm is proposed.In terms of hardware design,a microprocessor and memory were designed;In software design,the data in large⁃scale databases is first fused and processed.By calculating the association loss of the data,feature analysis is performed on it.Under the action of association rule mining algorithms,the association rules between data are analyzed,and the confidence of association rules is calculated.Based on this,the database index structure is constructed,and the automated retrieval results of the database are output.By designing the above software and hardware,complete the design of a large⁃scale database automated retrieval system.In experimental testing,the designed large⁃scale database automated retrieval system based on association rule mining algorithm has a high retrieval coverage and good retrieval performance in practical applications.
作者
苏国新
袁春峰
董帅
SU Guoxin;YUAN Chunfeng;DONG Shuai(GD Power Shuangwei Inner Mongolia Shanghaimiao Energy Co.,Ltd.,Ordos 016200,China;GD Power Development Co.,Ltd.,Ordos 017000,China)
出处
《电子设计工程》
2025年第13期39-43,共5页
Electronic Design Engineering
关键词
关联规则挖掘算法
大规模数据库
数据库检索
自动化检索
association rule mining algorithm
large⁃scale database
database retrieval
automated retrieval
