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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
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348초록
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
- 발행일
- 2017-08
- 유형
- Article
- 권
- 13
- 호
- 4
- 페이지
- 1891 ~ 1899
- 언어
- ENG
- 출판사
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행국가
- 미국
- 분량
- 9 페이지
- ISSN
- E 1941-0050
P 1551-3203