A Survey of Big Data Research

被引：1

作者：

Fang, Hua ^{[1
]}

Zhang, Zhaoyang ^{[2
,3
]}

Wang, Chanpaul Jin ^{[2
,4
]}

Daneshmand, Mahmoud ^{[5
]}

Wang, Chonggang ^{[6
]}

Wang, Honggang ^{[3
]}

机构：

[1] Univ Massachusetts, Sch Med, Dept Quantitat Hlth Sci, Div Biostat & Hlth Serv Res, Amherst, MA 01003 USA

[2] Univ Massachusetts, Sch Med, Dartmouth, MA USA

[3] Univ Massachusetts, Dept Elect & Comp Engn, Dartmouth, MA USA

[4] Univ Massachusetts, Dartmouth, MA USA

[5] Stevens Inst Technol, Sch Technol Management & Comp Sci, Hoboken, NJ USA

[6] Interdigital Commun, Wilmington, DE USA

来源：

IEEE NETWORK | 2015年 / 29卷 / 05期

关键词：

D O I：

10.1109/mnet.2015.7293298

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Big data create values for business and research, but pose significant challenges in terms of networking, storage, management, analytics, and ethics. Multidisciplinary collaborations from engineers, computer scientists, statisticians, and social scientists are needed to tackle, discover, and understand big data. This survey presents an overview of big data initiatives, technologies, and research in industries and academia, and discusses challenges and potential solutions.

引用

页码：6 / 9

页数：4

共 9 条

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