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International Journal of Big Data Intelligence and Applications (IJBDIA)

International Journal of Big Data Intelligence and Applications (IJBDIA)

Editors-in-Chief: Lawrence Chung (University of Texas at Dallas, USA) and Hao Fan (Wuhan University, China)
Published: Continuous Volume |Established: 2020
ISSN: 2644-1675|EISSN: 2644-1683|DOI: 10.4018/IJBDIA
Journal Metrics
Submission to Acceptance: Approx. 24 - 28 Weeks
Acceptance to Publication: Approx. 24 - 28 Weeks
Acceptance Rate: 11%
Description & Scope
Description:
Big data promises to evolutionize and revolutionize just about all walks of life, by improving analytical intelligence, and as such has increasingly attracted tremendous interests from both academia and industry. Its pragmatic utility, however, would seem to await not only real applications and... Show More
Mission & Scope:
The International Journal of Big Data Intelligence and Applications (IJBDIA) publishes research that bridges the big gap between data science and business-/end user-oriented big data intelligence engineering, while addressing pragmatic utility concerns, thereby striking a pragmatic balance between theory and practice, as well as science and engineering.
Coverage:
  • (Conceptual) Modelling and Analysis of Big Data (Intelligence)
  • 5 V's for Big Data Intelligence
  • Big Data Applications, in Healthcare, Transportation, Social Networking, Smart Cities, etc.
  • Big Data Intelligence in Business Process Reengineering (BPR)
  • Big Data Intelligence Theories
  • Case Studies and Practical Experiences
  • Data Mining for Big Data Intelligence
  • Data Science for Big Data Intelligence
  • Knowledge Representation and Reasoning for Big Data Intelligence
  • Machine Learning for Big Data Intelligence
  • Non-Functional (Quality) Properties of Big Data Intelligence, Such as Security, Accuracy, Performance, Scalability, etc.
  • Traceability Between Big Data Design and Business Intelligence
Abstracting & Indexing
Editorial Board

Editorial Board

Editorial Review Board
Ahmed Aleroud, Yarmouk University, United States
Hao Gui, Wuhan University, China
Hiroki Nomiya, Kyoto Institute of Technology, Japan
Julio Cesar Sampaio do Prado Leite, PUC-Rio, Brazil
Manuel Noguera, University of Granada, Spain ORCIDhttps://orcid.org/0000-0003-0503-6451
Maria Bermudez-Edo, University of Granada, Spain ORCIDhttps://orcid.org/0000-0002-2028-4755
Sam Supakkul, Sabre Inc., United States
Teruhisa Hochin, Kyoto Institute of Technology, Japan
Tsunenori Mine, Kyushu University, Japan
Yinjie Zhang, Institute of Scientific and Technical Information of China, China
Editorial Policy
IGI Global holds its journals to the highest ethical practices. View Full Editorial Policy
Latest Articles

As this journal is under the Hybrid Open Access model, authors can choose between Standard (Non-OA) publishing or Open Access publishing. Find the policies for the publishing models below:

  • Standard (Non-OA) Publishing: If the author chooses to publish under the Standard (Non-OA) model, the article will be published under a Green OA model and the copyright of their article will transfer to IGI Global under our Author Warranty and Transfer of Copyright Agreement. However, through Green OA, IGI Global supports a Fair Use Policy, enabling authors to Post the final typeset PDF (which includes the title page, table of contents and other front materials, and the copyright statement) of their chapter or article (NOT THE ENTIRE BOOK OR JOURNAL ISSUE), on the author or editor's secure personal website and/or their university repository site. See the Fair Use Policy for sharing allowances conducive to Green Open Access.
  • Open Access Publishing: If the author choses to publish under OA, the authors receive the Creative Commons Attribution 4.0 International (CC BY 4.0) licensing arrangement. The copyright for the work remains solely with the author(s) of the article. Others may distribute, remix, tweak, and build upon the work, even commercially, without asking prior permission from the publisher or author and so long as they credit the author for the original creation. All authors are required to sign an author's warranty stating that the materials are original and unpublished elsewhere. The journal will not publish any material that has been previously published elsewhere. Learn More

Article Processing Charges
This journal operates under the Hybrid Open Access model, allowing the author to choose between traditional, subscription-based publishing, or Open Access publishing.
Subscription-Based Publishing/Green Open Access: Article manuscripts require no Article Processing Charge (APC) and require authors to transfer the copyright of the manuscript to IGI Global. Manuscripts are published behind a paywall and must be purchased for use. See the Fair Use Policy for sharing allowances conducive to Green Open Access.
Open Access Publishing: Article manuscripts receive the Creative Commons Attribution 4.0 International (CC BY 4.0) licensing arrangement. The copyright for the work remains solely with the author(s) of the article. Others may distribute, remix, tweak, and build upon the work, even commercially, without asking prior permission from the publisher or author and so long as they credit the author for the original creation. A one-time Article Processing Charge (APC) of US $2,300 must be paid AFTER the manuscript has gone through the full double-blind peer review process and the Editor(s)-in-Chief at his/her/their full discretion has decided to accept the manuscript based on the results of the double-blind peer review process. Learn more about APCs here.
Open Access Funding: IGI Global recognizes that many researchers may not know where to begin when searching for OA funding opportunities. IGI Global recently launched an Open Access Funding Resources page for researchers to browse. This page provides a comprehensive list of OA funding sources available for researchers to secure funds for their various OA publications.
Archiving
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Contact
Lawrence Chung
University of Texas at Dallas
chung@utdallas.edu


Hao Fan
Wuhan University
hfan@whu.edu.cn