基于云计算的电子信息技术在大数据处理与分析中的应用

Application of Electronic Information Technology Based on Cloud Computing in Big Data Processing and Analysis

此次研究基于云计算平台,深入探讨电子信息技术在大数据处理与分析中的应用,以随机森林算法为基础,提取电子信息技术指标及初始数据。结果表明,文章所提聚合算法的准确率达96.4%,而Canopy算法、K-means算法的准确率分别为83.1%和83.4%。由此可知,采用聚合算法能有效理清基于云计算的电子信息技术在大数据处理与分析中的应用关联度,其算法查全率、查准率明显趋好,并能进一步提升大数据处理和分析效率,实际应用效果显著。

Based on cloud computing platform,this study deeply discusses the application of electronic information technology in big data processing and analysis,and extracts electronic information technology indicators and initial data based on random forest algorithm.The results show that the accuracy of the proposed algorithm is 96.4%,the accurate values of Canopy algorithm and K-means algorithm are 83.1%and 83.4%respectively.It can be seen that the aggregation algorithm can effectively clarify the application correlation degree of electronic information technology based on cloud computing in big data processing and analysis,and its algorithm recall rate and precision rate are significantly better,and can further improve the efficiency of big data processing and analysis,and its practical application effect is remarkable.