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Big Data Mining and Analytics (BDM&A)

Publisher :

Institute of Electrical and Electronics Engineers

  • Computer Science
  • Artificial Intelligence
  • Computer Networks

    • +2

e-ISSN :

2097-406X

Issue Frequency :

Quarterly

Impact Factor :

13.6

p-ISSN :

2096-0654

Est. Year :

2018

Mobile :

861083470507

DOI :

YES

Country :

China

Language:

English

APC :

YES

Email :

journal-bdma@tup.tsinghua.edu.cn

Journal Descriptions

Big Data Mining and Analytics (Published by Tsinghua University Press) discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications. Big Data Mining and Analytics is indexed and abstracted in ESCI, EI, Scopus, DBLP Computer Science, Google Scholar, INSPEC, CSCD, DOAJ, CNKI, etc.


Big Data Mining and Analytics (BDM&A) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Artificial Intelligence, Computer Networks, Information Systems, machine learning , Online or Print, Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN - 2096-0654, E-ISSN - 2097-406X, Established in - 2018, Impact Factor - 13.6

Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ

Not indexed in PubMed, UGC CARE

Indexing

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Google Scholar
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Scopus
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WoS

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Peer reviewed only
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Open access journal

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