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Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Authors
Lv, ZhihanSong, HoubingBasanta-Val, PabloSteed, AnthonyJo, Minho
Issue Date
8월-2017
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Big data; massive data; network
Citation
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.13, no.4, pp.1891 - 1899
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume
13
Number
4
Start Page
1891
End Page
1899
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/82654
DOI
10.1109/TII.2017.2650204
ISSN
1551-3203
Abstract
The term big data occurs more frequently now than ever before. A large number of fields and subjects, ranging from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversified types, issues, and solutions for big data more than ever before. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.
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