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| cover = | cover =
| title = Journal of Big Data | title = Journal of Big Data
| abbreviation = | abbreviation = J. Big Data
| editor = | editor =
| discipline = ] | discipline = ]
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| website = https://journalofbigdata.springeropen.com/ | website = https://journalofbigdata.springeropen.com/
| ISSN = 2196-1115 | ISSN = 2196-1115
| OCLC = | OCLC = 884468200
| link1 = | link1 =
| link1-name = Online access | link1-name = Online access

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Scientific journal Academic journal
J. Big Data doesn't exist. Please verify that |abbreviation=J. Big Data in {{Infobox journal}} is the correct ISO 4 abbreviation. (Or search the LTWA manually, see directions). Then create a redirect to this article by following this link.
J Big Data doesn't exist. Please verify that |abbreviation=J. Big Data in {{Infobox journal}} is the correct ISO 4 abbreviation. (Or search the LTWA manually, see directions). Then create a redirect to this article by following this link.
Journal of Big Data
DisciplineBig data
LanguageEnglish
Publication details
History2014-present
PublisherSpringerOpen (Germany)
Open accessyes
Standard abbreviations
ISO 4 (alt· Bluebook (alt)
NLM (alt· MathSciNet (alt Paid subscription required)
ISO 4J. Big Data
Indexing
CODEN (alt · alt2· JSTOR (alt· LCCN (alt)
MIAR · NLM (alt· Scopus
ISSN2196-1115
OCLC no.884468200
Links

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

References

External links


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