KDnuggets Home » News :: 2013 :: Nov :: Publications :: IJBDI-International Journal of Big Data Intelligence ( 13:n30 )

IJBDI-International Journal of Big Data Intelligence


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.



International Journal of Big Data IntelligenceInternational Journal of Big Data Intelligence
Editor in Chief: Prof. Ching-Hsien Hsu

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been previously published or be currently under consideration for publication any place else and should report original unpublished research results.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. www.inderscience.com/ospeers/authorregister.php

There is no submission or publication fee.

There is an option to publish your article in open access,

For more information, visit www.inderscience.com/ijbdi


Sign Up

By subscribing you accept KDnuggets Privacy Policy