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Big Data and Computing Visions - REA

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Big Data and Computing Visions - REA

  • About this Journal:
  • Big Data and Computing Visions (BDCV) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The publication start year of BDCV is 2021. All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and rigorously peer-reviewed by the international reviewers (The similarity rate must be below 20%).
  • BDCV is a peer-reviewed journal publishes original research papers, reviews, case studies, short communication and innovative research studies, covering all aspects on theoretical and applied papers of Big Data and Computing Visions concepts such as “data analysis”, “data mining”, “information systems”, “pattern recognition”, “soft computing”, ”computer vision”, ”image and video processing”, “distributed systems”, “Intelligent Systems”, “Bioinformatics”,” performance evaluation”,” data envelopment analysis”, “mathematical modeling”,” financial analysis”, etc. This journal respects the ethical rules in publishing and is subject to the rules of the Ethics Committee" for Publication (COPE) and committed to follow the executive regulations of the Law on Prevention and Combating Fraud in Scientific Works. This journal publishes fully open access journals, which means that all articles are available on the internet to all users immediately upon publication.
  • All submissions checked for similarity (iThenticate) and rigorously reviewed by international reviewers.
  • Papers are published free of charge for authors.

  • Editor-in-Chief:  Dragan Pamucar

  • Scope of the Journal:
  • Data analysis, data mining, and information systems.
  • Pattern recognition, soft computing, computer vision.
  • Image and video processing.
  • Distributed systems and intelligent systems.
  • Bioinformatics, performance evaluation, mathematical modelling.
  • Applications in financial analysis, data envelopment analysis, etc.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  2783-4956

    Electronic ISSN:  2821-014X

  • Abstracting and Indexing:  Scopus

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