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Journal of Big Data
Scientific journal From Wikipedia, the free encyclopedia
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Journal of Big Data is a scientific journal that publishes open-access original research on big data. Published by SpringerOpen since 2014, it examines 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.
All articles are included in:
- ESCI
- Scopus
- DLBP
- DOAJ
- ProQuest
- EBSCO Discover Service
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