Design and implementation of visualization system based on network mass data

Zihan Zhuo, Jianwu Dong, Yueying He, Lixuan Guo, Bin Peng
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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.
基于网络海量数据的可视化系统设计与实现
随着互联网的广泛应用,互联网数据也在飞速增长。利用可视化技术直接揭示海量数据与信息潜在特征之间的关系已成为一个重要的研究课题。针对传统可视化C/S系统资源存储容量小、数据交换效率低的问题,本文采用计算机分布式框架和高效的网络传输技术,完成了网络数据可视化系统的总体框架设计,并基于Web全栈技术实现。实验结果表明,该系统可以为海量数据提供全面的可视化服务,并有助于高效、直接地从数据中提取隐藏信息,从而便于决策制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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