Back to Top
Go Back
Journal Photo for Big Data Mining and Analytics
Peer reviewed only Open Access

Big Data Mining and Analytics (BDM&A)

Publisher : Institute of Electrical and Electronics Engineers
Computer Science Artificial Intelligence Computer Networks
Claim Your Journal Get PRC Visit Website
e-ISSN 2097-406X
p-ISSN 2096-0654
Issue Frequency Quarterly
Impact Factor 13.6
Est. Year 2018
Mobile 861083470507
DOI YES
Country China
Language English
APC YES
Impact Factor Assignee Google Scholar
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 P-ISSN: 2096-0654, E-ISSN: 2097-406X, Established: 2018, Impact Factor: 13.6
  • Provides Crossref DOI

  • Indexed in: Scopus, WoS, DOAJ

  • Not indexed in PubMed, UGC CARE

Indexing