Journal of big data.

Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going f...

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Bibliographic Details
Place / Publishing House:Heidelberg, Germany : : Springer-Verlag, GmbH,, 2014-
Publication history:Began with 1:1 (24 June 2014).
Language:English
Physical Description:1 online resource
Notes:Refereed/Peer-reviewed
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Summary:Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. 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.
Publication Frequency:Irregular
Format:Mode of access: World Wide Web.
ISSN:2196-1115
Hierarchical level:Serial