Big Data Mining and Analytics 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 and CNKI.
Big Data Mining and Analytics (BDMA)
is :
International, Peer-Reviewed, Open Access, Refereed,
Computer Science, Computer Networks, Communications, Artificial Intelligence, Information Systems
,
Online
Monthly
Journal
UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2096-0654, Established in - 2024, Impact Factor - 13.6
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