摘要
针对传统业务系统元数据文档自动更新模型存在召回率低、更新耗时长的问题,为保证文件的安全性和可靠性,提高元数据访问性能与文件系统性能,提出基于数据挖掘的业务系统元数据文档自动更新模型。根据业务系统元数据文档存储结构,采用数据挖掘算法建立了元数据文档特征压缩器,得到元数据文档的融合集合,优化设计了业务系统元数据文档存储结构,通过计算元数据文档页面的PageRank值,分析了元数据文档在业务系统中主题与链接之间的相关性,对业务系统元数据文档进行了检索,实现了业务系统元数据文档的自动更新。实验结果表明,所设计的新模型可以提高召回率和元数据文档的自动更新效率。
Aiming at the problems of low recall rate and long update time in traditional business system metadata document automatic update model,a business system metadata document automatic update model based on data mining is proposed to ensure the security and reliability of files and improve the performance of metadata access and file system.According to the metadata document storage structure of business system,the metadata document feature compressor is established by using data mining algorithm,and the metadata document fusion set is obtained.The metadata document storage structure of business system is optimized and designed.By calculating the PageRank value of metadata document page,the correlation between topic and link of metadata document in business system is analyzed,the business system metadata document is retrieved,and the business system metadata document is automatically updated.Experimental results show that the new model can improve the recall rate and the efficiency of metadata document automatic update.
作者
萧展辉
孙刚
邹文景
XIAO Zhanhui;SUN Gang;ZOU Wenjing(China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510000,China)
出处
《电子设计工程》
2022年第16期190-193,共4页
Electronic Design Engineering
