Journal Information
IEEE Transactions on Big Data (TBD)

Call For Papers
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.
Last updated by Xin Yao in 2017-08-21
Special Issues
Special Issue on Big Data from Space
Submission Date: 2018-01-31

Big Data from Space refers to the massive spatio-temporal Earth and Space observation data collected by space-borne sensors, and their use in synergy with data coming from other aerial or ground based sensors or sources. This domain is currently facing sharp development with numerous new initiatives and breakthroughs ranging from computational sensors to space sensor web, covering almost the entire electromagnetic spectrum from Gamma-rays to radiowaves, or from gravitational to quantum principles. The analysis of these data largely contributes to the broad scientific effort to understand the Universe and to enhance life on Earth. The recent multiplication of open access initiatives to Big Data from Space is giving momentum to the field by widening substantially the spectrum of scientific communities and users as well as awareness among the public while offering new benefits at all levels from individual citizens to the whole society. In this Special Issue, we solicit high-quality scientific research articles, in areas such as, but not limited to, Earth Observation, planetary sciences, Space and Security, deep space exploration, astrophysics, satellite telecommunication, navigation and positioning systems, addressing key challenges and innovative solutions on how Big Data paradigms can improve the space sciences, technologies, and applications. Topics of interest include, but are not limited to: - Data from space and suborbital sensor cooperating networks - Computational sensing and imaging - On-board data handling functions and technologies - Data transfer and telecommunication systems - Data preservation, storage, dissemination and computing platforms - Information retrieval and knowledge extraction - Data mining and visual analytics - Data Science - Scalability in any sense - Semantic and knowledge representations - Quantum resources - Performance metrics and benchmarking
Last updated by Dou Sun in 2017-07-01
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