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Journal of Big Data (JBD)

Publisher :

Springer Nature

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Computer Science
  • Hardware
  • Architecture

    • +3

e-ISSN :

2196-1115

Issue Frequency :

Monthly

Impact Factor :

8.1

Est. Year :

2014

Mobile :

4408002605666

Country :

India

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

bfurht@fau.edu

Journal Descriptions

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. 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. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.


Journal of Big Data (JBD) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Hardware, Architecture, Computer Networks and Communications, Information Systems, Decision Sciences , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2196-1115, Established in - 2014, Impact Factor - 8.1

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ

Not indexed in PubMed, UGC CARE

Indexing

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WoS
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DOAJ

+1 More

Publications of JBD

Research Article
  • dott image Md. Alamin Talukder
  • dott image February, 2024

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and activit...

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