SafetyLit Journal Details

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Journal of big data

Abbreviation: J. Big Data

Published by: Holtzbrinck Springer Nature Publishing Group

Publisher Location: Heidelberg, Germany

Journal Website:
https://journalofbigdata.springeropen.com/articles

Range of citations in the SafetyLit database: 2021; 8(1) -- 2023; 10(1)

Publication Date Range: 2014 --

Title began with volume (issue): 1()

Number of articles from this journal included in the SafetyLit database: 12
(Download all articles from this journal in CSV format.)

eISSN = 2196-1115
LCCN = 2014254719

Find a library that holds this journal: http://worldcat.org/issn/21961115

Journal Language(s): English

Aims and Scope (from publisher): 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.

Articles in database by volume, issue.