Publication:
Next-generation big data analytics: state of the art, challenges, and future research topics

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URI: https://hdl.handle.net/10016/25738
ISSN: 1551-3203
DOI: 10.1109/TII.2017.2650204
UXXI: AR/0000020373
Publication date
2017-02-27
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IEEE
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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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Keywords
Big data, Massive data, Network, Data analysis, Data privacy, Security of data
Bibliographic citation
IEEE Transactions on Industrial Informatics, (2017), 13(4), 1891-1899
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DIT - RYSC - Artículos en Revistas Internacionales / International Journals