This is an old revision of this page, as edited by Fadesga (talk | contribs) at 18:45, 6 January 2025. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Revision as of 18:45, 6 January 2025 by Fadesga (talk | contribs)(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff) | This article is actively undergoing a major edit for a little while. To help avoid edit conflicts, please do not edit this page while this message is displayed. This page was last edited at 18:45, 6 January 2025 (UTC) (2 days ago) – this estimate is cached, update. Please remove this template if this page hasn't been edited for a significant time. If you are the editor who added this template, please be sure to remove it or replace it with {{Under construction}} between editing sessions. |
Journal of Big Data is a scientific journal that publishes open-access original research on big data. Published by SpringerOpen, 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
  | This article about a computer science journal is a stub. You can help Misplaced Pages by expanding it. See tips for writing articles about academic journals. Further suggestions might be found on the article's talk page. |