Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/196255
Title: Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Authors: Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed;Minho Jo
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/196255
volume: 13
issue: 4
More Information: 1891,
1899
Appears in Collections:2017

Files in This Item:
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7866003.pdf299.99 kBAdobe PDF
Title: Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Authors: Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed;Minho Jo
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/196255
volume: 13
issue: 4
More Information: 1891,
1899
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7866003.pdf299.99 kBAdobe PDF
Title: Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Authors: Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed;Minho Jo
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/196255
volume: 13
issue: 4
More Information: 1891,
1899
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7866003.pdf299.99 kBAdobe PDF