Application of Electronic Information Technology Based on Cloud Computing in Big Data Processing and Analysis
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.
cloud computingelectronic information technologybig data processing
NETL
NSTL
万方数据
