Journal of Data Intelligence  (JDI)

   ISSN: 2577-610X

   Guideline for Authors (PDF)
  JDI online
JDI leaflet

Introduction:  Data Intelligence is the amalgamation of big data, data analytics and data science, which examines growing amounts of data as well as recent advances in data analytics to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that allow both businesses and individuals to make more-informed decisions, find what is important, visualize the results, analyze the facts, and discover new insights that were not obvious from the beginning.

Given a large enough data set, fast enough processors, and a sophisticated enough algorithm, computers can begin to accomplish tasks that used to be completely left in the realm of human intelligence.

Readership:  Scientists, engineers, researchers, educators, managers, and industrial professionals.

Contents:  Journal of Data Intelligence (JDI) is a peer-reviewed international journal. JDI seeks original research papers, state of the art reviews, case studies, and innovative projects, on topics leveraging all aspects of Data Intelligence: from underlying technologies to applications, theory to practice, and models to algorithms.

The coverage of this journal ranges from innovative topics to research findings to trends analysis on data intelligence and related theories, technologies, methods, applications, and services from all engineering, business and organizational perspectives.

Subject Coverage:  JDI solicits novel papers that exploit data intelligence on a broad range of topics, including:

Data Foundations
- Data and Knowledge Theoretical models
- Data and Knowledge Computational models

Data Infrastructure
- High-Performance, Parallel, Distributed, Cluster, Grid, Cloud Computing
- Autonomic Computing
- Cognitive Computing
- Data platforms and programming models

Big Data
- 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 trust

Data Management
- data and knowledge creation, discovery, processing, modeling, mapping, search, interoperability, exchange, integration, and visualization
- data mining, information retrieval and extraction
- machine learning for Data Intelligence
- deep learning for Data Intelligence

Data Analytics
- social analytics, and text analytics
- business analytics, customer analytics, mobile analytics, Web/online analytics, and network analytics
- Predictive/Descriptive/prescriptive analytics

Data Intelligence Applications & Case Studies
- Data Intelligence in science, Engineering, Medicine, Healthcare, Finance, Business, Government, Law, Education, Transportation, Retailing, Telecommunication
- Data Intelligence Systems & Tools

The Editorial Board:

Professor Ismail Khalil, Institute of Telecooperation, Johannes Kepler University Linz, Austria
Professor Brahim Ouhbi, ENSAM, Morocco, email:

Regional Editors-in-chief:
to be announced

Associate editors:
to be announced

Publisher: Rinton Press, New Jersey, USA