Zihan Zhuo, Jianwu Dong, Yueying He, Lixuan Guo, Bin Peng
{"title":"Design and implementation of visualization system based on network mass data","authors":"Zihan Zhuo, Jianwu Dong, Yueying He, Lixuan Guo, Bin Peng","doi":"10.1109/COMPCOMM.2016.7924683","DOIUrl":null,"url":null,"abstract":"With the extensive applications of Internet, the Internet data have grown at full speed. To directly reveal the relationship among mass data and the latent characteristics in information with visualization techniques has become an important research topic. Concerning small resource storage capacity and low data exchange efficiency of the traditionally visualization C/S system, this paper adopts the computer distributed framework and the efficient network transmission technique to finish overall framework design of the network data visualization system, and realizes it based on the Web full-stack technique. Experimental results suggest that the system can provide comprehensive visualization services for mass data and contribute to extraction of hidden information efficiently and directly from data, thus facilitating decision formulation.","PeriodicalId":210833,"journal":{"name":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPCOMM.2016.7924683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the extensive applications of Internet, the Internet data have grown at full speed. To directly reveal the relationship among mass data and the latent characteristics in information with visualization techniques has become an important research topic. Concerning small resource storage capacity and low data exchange efficiency of the traditionally visualization C/S system, this paper adopts the computer distributed framework and the efficient network transmission technique to finish overall framework design of the network data visualization system, and realizes it based on the Web full-stack technique. Experimental results suggest that the system can provide comprehensive visualization services for mass data and contribute to extraction of hidden information efficiently and directly from data, thus facilitating decision formulation.