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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.

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All articles are included in:

  • ESCI
  • Scopus
  • DLBP
  • DOAJ
  • ProQuest
  • EBSCO Discover Service
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