Journal of Big Data《大数据杂志》（一年1卷）. The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems.
中文译名：《大数据杂志》 收录属性：scie（2024版）, 目次收录（维普）, 目次收录（知网）,英文期刊, 投稿方向：computer science, theory & methods
