IEEE Transactions on Big Data

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Journal Properties
  • Number of Articles
    578
  • Abbreviation
    IEEE Trans Big Data
  • e-ISSN
    2372-2096
  • Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
  • Indian UGC
  • DOAJ (latest)
Description
IEEE Transactions on Big Data is a leading scholarly journal focused on the theory, technology, and applications of big data. This journal serves as a vital platform for researchers and practitioners working to address the challenges and opportunities presented by increasingly large and complex datasets. The journal explores innovative approaches to big data management, analysis, and utilization, covering topics such as data mining, machine learning, data storage, cloud computing, and high-performance computing. Indexed in prominent databases like Scopus and Web of Science, it ensures high visibility and impact within the scientific community. Key areas of focus include scalable algorithms for data analytics, novel architectures for big data infrastructure, and techniques for data visualization and interpretation. It also covers applications in various domains, including healthcare, finance, social media, and environmental science. The target audience includes researchers in academia and industry, data scientists, engineers, and anyone involved in the development and deployment of big data solutions. IEEE Transactions on Big Data is committed to advancing the field through rigorous peer review and the publication of high-quality research. It encourages submissions that present novel ideas, significant results, and practical implementations, thus contributing to the progress of big data technology and its beneficial impact on society. Researchers are invited to submit their work to this highly respected publication.