Big data analytics and big data science: a survey

被引：88

作者：

Chen, Yong ^{[1
,7
]}

Chen, Hong ^{[2
,7
]}

Gorkhali, Anjee ^{[3
,7
]}

Lu, Yang ^{[4
,5
,7
]}

Ma, Yiqian ^{[6
,7
]}

Li, Ling ^{[7
]}

机构：

[1] Peking Univ, Beijing 100871, Peoples R China

[2] Tianjin Univ, Tianjin 300072, Peoples R China

[3] Tribhuvan Univ, Inst Engn, Kirtipur 44618, Nepal

[4] Univ Kentucky, Lexington, KY 40506 USA

[5] Univ Manchester, Manchester M13 9PL, Lancs, England

[6] Shanghai Univ Sport, Shanghai 200438, Peoples R China

[7] Old Dominion Univ, Norfolk, VA 23529 USA

来源：

JOURNAL OF MANAGEMENT ANALYTICS | 2016年 / 3卷 / 01期

关键词：

big data; big data analytics; big data science; survey; literature review;

D O I：

10.1080/23270012.2016.1141332

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Big data has attracted much attention from academia and industry. But the discussion of big data is disparate, fragmented and distributed among different outlets. This paper conducts a systematic and extensive review on 186 journal publications about big data from 2011 to 2015 in the Science Citation Index (SCI) and the Social Science Citation Index (SSCI) database aiming to provide scholars and practitioners with a comprehensive overview and big picture about research on big data. The selected papers are grouped into 20 research categories. The contents of the paper(s) in each research category are summarized. Research directions for each category are outlined as well. The results in this study indicate that the selected papers were mainly published between 2013 and 2015 and focus on technological issues regarding big data. Diverse new approaches, methods, frameworks and systems are proposed for data collection, storage, transport, processing and analysis in the selected papers. Possible directions for future research on big data are discussed.

引用

页码：1 / 42

页数：42

共 212 条

[51] Big Data text-oriented benchmark creation for Hadoop [J].

Gattiker, A. ;

Gebara, F. H. ;

Hofstee, H. P. ;

Hayes, J. D. ;

Hylick, A. .

IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2013, 57 (3-4)

[52] Search in the Universe of Big Networks and Data [J].

Gelenbe, Erol ;

Abdelrahman, Omer H. .

IEEE NETWORK, 2014, 28 (04) :20-25

[53]

Goes PB, 2014, MIS QUART, V38, pIII

[54] Efficient global portfolios: Big data and investment universes [J].

Guerard, J. B., Jr. ;

Rachev, S. T. ;

Shao, B. P. .

IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2013, 57 (05)

[55] LifeLogging: Personal big data [J].

Gurrin, Cathal ;

Smeaton, Alan F. ;

Doherty, Aiden R. .

Foundations and Trends in Information Retrieval, 2014, 8 (01) :1-125

[56] MapReduce Functions to Analyze Sentiment Information from Social Big Data [J].

Ha, Ilkyu ;

Back, Bonghyun ;

Ahn, Byoungchul .

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,

[57] Mobile Cloud Sensing, Big Data, and 5G Networks Make an Intelligent and Smart World [J].

Han, Qilong ;

Liang, Shuang ;

Zhang, Hongli .

IEEE NETWORK, 2015, 29 (02) :40-45

[58] Efficient Skyline Computation on Big Data [J].

Han, Xixian ;

Li, Jianzhong ;

Yang, Donghua ;

Wang, Jinbao .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 25 (11) :2521-2535

[59] The rise of "big data" on cloud computing: Review and open research issues [J].

Hashem, Ibrahim Abaker Targio ;

Yaqoob, Ibrar ;

Anuar, Nor Badrul ;

Mokhtar, Salimah ;

Gani, Abdullah ;

Khan, Samee Ullah .

INFORMATION SYSTEMS, 2015, 47 :98-115

[60]

Hirsch B., 2011, 2011 INT C INT TECHN, P718

← 1 2 3 4 5 6 7 8 9 10 →