Journal Information

Journal of Big Data

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Impact Factor:
6.4
Publisher:
Springer
ISSN:
2196-1115
Viewed:
27146
Tracked:
2

Call For Papers

Journal of Big Data is an academic journal published by Springer. (ISSN 2196-1115, impact factor 6.4).

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
Last updated by Dou Sun on

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