Big Data Intelligence 2014 : International Journal of Big Data Intelligence
Call For Papers
Big data is a rapidly expanding research area spanning the fields of
computer science and information management, and has become a ubiquitous
term in understanding and solving complex problems in different
disciplinary fields such as engineering, applied mathematics, medicine,
computational biology, healthcare, social networks, finance, business,
government, education, transportation and telecommunications. IJBDI
provides a vehicle for disseminating the latest research in big data
research, development and applications.
International Journal of Big Data Intelligence (IJBDI) is a peer reviewed
multidisciplinary international journal publishing original and high-quality
articles covering a wide range of topics in big data intelligence.
The journal welcomes author submission of original and significant contributions.
Articles submitted should not have been previously published or be currently under
consideration for publication any place else and should report original unpublished
research results. The review process of IJBDI is guaranteed less than 10 weeks.
Topics suitable for IJBDI include but are not limited to:
-The 5Vs of the data landscape: volume, variety, velocity, veracity, value
-Big data science and foundations, analytics, visualisation and semantics
-Software and tools for big data management
-Security, privacy and legal issues specific to big data
-Big data economy, QoS and business models
-Intelligence and scientific discovery
-Software, hardware and algorithm co-design, high-performance computing
-Large-scale recommendation systems and graph analysis
-Algorithmic, experimental, prototyping and implementation
-Data-driven innovation, computational modelling and data integration
-Data intensive computing theorems and technologies
-Modelling, simulation and performance evaluation
-Hardware and infrastructure, green data centres/environmental-friendly perspectives
-Computing, scheduling and resource management for sustainability
-Complex applications in areas where massive data is generated
All papers must be submitted and refereed through an on-line peer review system.
Please read our information on preparing and submitting articles.
- There is no submission or publication fee.
- There is an option to publish your article in open access
All enquiries and special issue proposals should be directed to the editor
Robert Hsu at firstname.lastname@example.org