Aims & 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.

Persistent Link: http://ieeexplore.ieee.org/servlet/opac?punumber=6687317 More »

Frequency: 4

Editor-in-Chief
Qiang Yang
Department of Computer Science and Engineering
Hong Kong University of Science and Technology
Clear Water Bay
Kowloon 11794-2350, Hong Kong
Phone: + 001 (00852) 2358-7009
Fax: + 001 (00852) 2358-2679
Email: qyang@cse.ust.hk

Contacts

Editor-in-Chief
Qiang Yang
Department of Computer Science and Engineering
Hong Kong University of Science and Technology