Significance and Challenges of Big Data Research

被引:447
作者
Jin, Xiaolong [1 ]
Wah, Benjamin W. [1 ,2 ]
Cheng, Xueqi [1 ]
Wang, Yuanzhuo [1 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China
[2] Chinese Univ Hong Kong, Shatin, Hong Kong, Peoples R China
基金
美国国家科学基金会; 美国国家卫生研究院; 中国国家自然科学基金;
关键词
Big data; Data complexity; Computational complexity; System complexity;
D O I
10.1016/j.bdr.2015.01.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, the rapid development of Internet, Internet of Things, and Cloud Computing have led to the explosive growth of data in almost every industry and business area. Big data has rapidly developed into a hot topic that attracts extensive attention from academia, industry, and governments around the world. In this position paper, we first briefly introduce the concept of big data, including its definition, features, and value. We then identify from different perspectives the significance and opportunities that big data brings to us. Next, we present representative big data initiatives all over the world. We describe the grand challenges (namely, data complexity, computational complexity, and system complexity), as well as possible solutions to address these challenges. Finally, we conclude the paper by presenting several suggestions on carrying out big data projects. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:59 / 64
页数:6
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