Details

Autor(en) / Beteiligte

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

Titel

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

Ist Teil von

• IEEE transactions on industrial informatics, 2017-08, Vol.13 (4), p.1891-1899

Ort / Verlag

Piscataway: IEEE

Erscheinungsjahr

2017

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore Digital Library

Beschreibungen/Notizen

• 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.