基于云计算平台的政务大数据系统自动检索方法研究

传统检索方法查准率和查全率相对较差,导致自动检索精准度较低。为此,提出了基于云计算平台的政务大数据系统自动检索方法研究。在云计算平台下,利用CiteSpace软件对政务大数据系统中的关键词进行统计分析,获取相关资源。在电子政务联机模式下,揭示政务大数据系统中资源相关属性,在MapReduce挖掘模型支持下,进行政务大数据系统数据挖掘,实现政务大数据系统自动检索。实验验证分析,该方法检索查准率和查全率较高,具有高效检索效果。

Research on Automatic Retrieval Method of Government Big Data System Based on Cloud Computing Platform

The accuracy and recall of traditional retrieval methods are relatively poor, which leads to low accuracy of automatic retrieval. In response to this problem, a research on automatic retrieval methods for government affairs big data systems based on cloud computing platforms is proposed. Under the cloud computing platform, CiteSpace software is used to perform statistical analysis on keywords in the government''s big data system to obtain related resources. Under the online mode of e-government, the resource-related attributes in the government''s big data system are revealed. With the support of the MapReduce mining model, data mining of the government''s big data system is performed to realize automatic retrieval of the government''s big data system. The experimental verification analysis shows that the method has high retrieval accuracy and recall, and has an efficient retrieval effect.