Content area

Abstract

The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data. To deeply discuss this issue, this paper begins with a brief introduction to data analytics, followed by the discussions of big data analytics. Some important open issues and further research directions will also be presented for the next step of big data analytics.

Details

Title
Big data analytics: a survey
Author
Chun-Wei, Tsai 1 ; Chin-Feng, Lai 2 ; Han-Chieh Chao 3 ; Vasilakos, Athanasios V 4 

1  Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan 
2  Institute of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan 
3  Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan; Information Engineering College, Yangzhou University, Yangzhou, Jiangsu, China; School of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China 
4  Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Skellefteå, Sweden 
Pages
1-32
Publication year
2015
Publication date
Oct 2015
Publisher
Springer Nature B.V.
e-ISSN
21961115
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s40537-015-0030-3
ProQuest document ID
1987954913
Copyright
Journal of Big Data is a copyright of Springer, (2015). All Rights Reserved.