IEEE Transactions on Big Data

Aim & Scope

The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.


Editor(s)

Qiang Yang

Editor-in-Chief, IEEE Transactions on Big Data
Hong Kong University of Science and Technology

For more information on the journals of the Systems Council, contact:

Stephen Dyer

VP Publications (2018-2019); Publications Committee Chair
Kansas State University