A Novel Method of Data Correlation Analysis of the Big Data Based on Network Clustering Algorithm

被引：0

作者：

Yang, Yue ^{[1
]}

Wang, Chunting ^{[1
]}

机构：

[1] China Elect Technology Grp Corp, Res Inst 54, Beijing Res & Dev Ctr, Sci & Technol Informat Transmiss & Disseminat Com, Shijiazhuang, Peoples R China

来源：

PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN) | 2015年

关键词：

big data; data correlation; network clustering algorithm; INCREASING RETURNS; INFORMATION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays, with the development of information diversification and complex relationship among the information data, heterogeneous and cyberization are the main trends of the big data. Therefore, how to analyze and manage the data based on network analysis is one of the most urgent problems. In this paper, we analyzed the trends and networking characteristics of current information data development. With the analysis of current information data and the dimension of the relationship, we mined the network characteristic of the information data. From the networking dimension of the data, based on the heterogeneous network and social network, we studied the proposal method of data correlation to solve the problems in clustering, personal query and social network prediction.

引用

页码：360 / 366

页数：7

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