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: Quarterly |Established: 2020
ISSN: 2644-1675|EISSN: 2644-1683|DOI: 10.4018/IJBDIA

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 experiences, but also the integration of a number of related areas - ranging from data science, AI and machine learning to business analytics, and intelligence and business process re-engineering. The International Journal of Big Data Intelligence and Applications (IJBDIA) is intended as a forum for exchanging ideas and results from the many related areas, as well as in bridging the gap between such individual areas.

Topics Covered

  • (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

Mission and 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.

Table of Contents and List of Contributors

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Volume 1: 4 Issues (2020): Forthcoming, Available for Pre-Order
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Editor(s)-in-Chief Biography

Editorial Board

Editorial Review Board
D.H. Bae, KAIST, Korea
Maria Bermudez-Edo, University of Granada, Spain ORCIDhttps://orcid.org/0000-0002-2028-4755
Ho-Jin Choi, Korea Advanced Institute of Science and Technology, Korea, Republic Of
Hao Gui, Wuhan University, China
Teruhisa Hochin, Kyoto Institute of Technology, Japan
Hyeonkyu Lee, KAIST, Korea
Tsunenori Mine, Kyushu University, Japan
Manuel Noguera, University of Granada, Spain
Hiroki Nomiya, Kyoto Institute of Technology, Japan
Julio Cesar Sampaio do Prado Leite, PUC-Rio, Brazil
Sam Supakkul, Sabre Inc., United States
Ben Vinod, Sabre Inc., United States
Yinjie Zhang, Institute of Scientific and Technical Information of China, China
Liping Zhao, University of Manchester, UK

Submission

Researchers and practitioners are invited to submit their original empirical research articles 5,000–7,000 words in length. Interested authors must consult the journal’s guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted articles will be reviewed on a double-blind review basis by no fewer than 3 members of the journal’s Editorial Review Board and 1 Associate Editor. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers and at the sole discretion of the Editors-in-Chief. All manuscripts must be submitted through the eEditorial Discovery® online submission manager: http://www.igi-global.com/submission/submit-manuscript

All submissions and inquiries should be directed to the attention of:

Lawrence Chung
University of Texas at Dallas
chung@utdallas.edu


Hao Fan
Wuhan University
hfan@whu.edu.cn