The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Big Data Intelligence
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Big Data Intelligence.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data Intelligence.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Big Data Intelligence are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
18. International Conference on Big Data Intelligence has teamed up with the Special Journal Issue on
Big Data Intelligence.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Impact of Similarity Ratings on Human Judgement
Ian A. McCulloh, Madelaine Zinser, Jesse Patsolic, Michael Ramos
-
Imputing Missing Data in Electronic Health Records: A Comparison of Linear and Non-Linear Imputation Models
Alireza Vafaei Sadr, Vida Abedi, Jiang Li, Ramin Zand
-
An Energy-Efficient Model of Integrating Telehealth IoT Devices with Fog and Cloud Computing-Based Platform
Yunyong Guo, Sudhakar Ganti, Bryan Guo
-
AI-Driven Cloud Security: Proactive Defense Against Evolving Cyber Threats
Ashly Joseph
-
Dynamic Metadata Schemes in the Neutron and Photon Science Communities: A Case Study of X-Ray Photon Correlation Spectroscopy
Amir Tosson, Mohammad Reza, Christian Gutt
-
Optimizing Telehealth Internet of Things Integration: A Sustainable Approach through Fog and Cloud Computing Platforms for Energy Efficiency
Yunyong Guo, Sudhakar Ganti, Bryan Guo
-
Eco-Connectivity: Sustainable Practices in Telecom Networks Using Big Data
Tharunika Sridhar
-
Post Pandemic Mobility Analysis through Indexing and Sharding in MongoDB: Performance Optimization and Insights
Karan Vishavjit, Aakash Lakra, Shafaq Khan
-
A Survey in Techniques for Imbalanced Intrusion Detection System Datasets
Najmeh Abedzadeh, Matthew Jacobs
-
Adopting Cloud-Based Techniques to Reduce Energy Consumption: Toward a Greener Cloud
Sandesh Achar
-
An Induction Motor Drive System with Intelligent Supervisory Control for Water Networks Including Storage Tank
O. S. Ebrahim, K. O. Shawky, M. A. Badr, P. K. Jain
-
An Empirical Investigation of Big Data Analytics: The Financial Performance of Users versus Vendors
Evisa Mitrou, Nicholas Tsitsianis, Supriya Shinde
-
Toward Understanding and Testing Deep Learning Information Flow in Deep Learning-Based Android Apps
Jie Zhang, Qianyu Guo, Tieyi Zhang, Zhiyong Feng, Xiaohong Li
-
AI-Based Approaches for Task Offloading, Resource Allocation and Service Placement of IoT Applications: State of the Art
Fatima Z. Cherhabil, Mammar Sedrati, Sonia-Sabrina Bendib
-
Organizational Data Security in Perspective of Ownership of Mobile Devices Used by Employees for Works
B. Ferdousi, J. Bari
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
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
Abstracts/Full-Text Paper Submission Deadline |
|
August 15, 2024 |
Notification of Acceptance/Rejection |
|
August 30, 2024 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
September 29, 2024 |
Conference Dates |
|
October 28-29, 2024 |