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

  • Lv, Zhihan; 
  • Song, Houbing; 
  • Basanta-Val, Pablo; 
  • Steed, Anthony; 
  • Jo, Minho
Citations

WEB OF SCIENCE

274
Citations

SCOPUS

348

초록

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.

키워드

Big data; massive data; network; ALGORITHM; RISK
제목
Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
저자
Lv, Zhihan; Song, Houbing; Basanta-Val, Pablo; Steed, Anthony; Jo, Minho
DOI
10.1109/TII.2017.2650204
발행일
2017-08
유형
Article
저널명
IEEE Transactions on Industrial Informatics
권
13
호
4
페이지
1891 ~ 1899