Big Data Analytics is a peer-reviewed journal focusing on the theoretical and practical aspects of big data analysis. The journal explores state-of-the-art techniques, algorithms, and applications for managing, processing, and extracting valuable insights from large and complex datasets.
Topics covered include machine learning, data mining, data visualization, cloud computing, and distributed systems. The journal is aimed at researchers, data scientists, and industry professionals involved in the field of big data. Indexed in Scopus and Web of Science.
Advance big data research by submitting your original work to the journal. Stay updated on the latest trends and breakthroughs in big data analytics, contributing to a data-driven future. Review the aims and scope for further details.