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

Zhihan Lv · Houbing Herbert Song · Pablo Basanta Val · Anthony J. Steed · Minho Jo

366 citations0/0 files storedIEEE Transactions on Industrial Informatics

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Big Data Technologies and Applications Information Retrieval and Data Mining AI and Big Data Applications

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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References

2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data 2014Big Data: A Survey 2014Challenges of Big Data analysis 2013The big challenges of big data 2014Toward Scalable Systems for Big Data Analytics: A Technology Tutorial 2014Big data and its technical challenges

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