Big Data Mining and Analytics Open Access Editors-in-Chief: Yi Pan, Weimin Zheng
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Overview

  • 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.

    View Aims and Scope

  • Editors-in-Chief: Yi Pan, Weimin Zheng

    View Editorial Board

  • 13.6

    Impact Factor (2022)

  • 20.9

    CiteScore (2023)

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