Journal of Big Data (JBD)

Publisher :

Springer Nature

Computer Science
Hardware
Architecture
Computer Networks and Communications
Information Systems
Decision Sciences

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

+1 More

Research Article

Md. Alamin Talukder

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...

Research Article

Sudeep Tanwar

January, 2024

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

Deep learning has seen significant growth recently and is now applied to a wide range of conventional use cases, including graphs. Graph data provides relational information between elements...

Journal of Big Data (JBD)

Journal Descriptions

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

Scopus

WoS

DOAJ

ISSN Portal

Publications of JBD

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

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

Establish Your Own Journal Without the Expense!

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Journal of Big Data (JBD)

Journal Descriptions

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

Scopus

WoS

DOAJ

ISSN Portal

Publications of JBD

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

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

Establish Your Own Journal Without the Expense!

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