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 Analytics and Knowledge Discovery
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 Analytics and Knowledge Discovery.
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 Analytics and Knowledge Discovery.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Analytics and Knowledge Discovery 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
19. International Conference on Big Data Analytics and Knowledge Discovery has teamed up with the Special Journal Issue on
Big Data Analytics and Knowledge Discovery.
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
-
Bridge Health Monitoring: A Review
Mohammad Bakhshandeh
-
RV-YOLOX: Object Detection on Inland Waterways Based on Optimized YOLOX through Fusion of Vision and 3+1D Millimeter Wave Radar
Zixian Zhang, Shanliang Yao, Zile Huang, Zhaodong Wu, Xiaohui Zhu, Yong Yue, Jieming Ma
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Case-Based Reasoning Application to Predict Geological Features at Site C Dam Construction Project
S. Behnam Malekzadeh, I. Kerr, T. Kaempffer, T. Harper, A Watson
-
Current Starved Ring Oscillator Image Sensor
Devin Atkin, Orly Yadid-Pecht
-
Composite Coatings of Piezoelectric Quartz Sensors Based on Viscous Sorbents and Casein Micelles
Anastasiia Shuba, Tatiana Kuchmenko, Umarkhanov Ruslan, Bogdanova Ekaterina
-
Investigating the Vehicle-Bicyclists Conflicts Using LIDAR Sensor Technology at Signalized Intersections
Alireza Ansariyar, Mansoureh Jeihani
-
A Physical Theory of Information vs. a Mathematical Theory of Communication
Manouchehr Amiri
-
Scientific Interpretation of “Fertilizing Winds” Mentioned in Verse 15:22 of Al-Quran
M. M. Rashid
-
Analysis of Dropped Call Rate for Long Term Evolution Networks in Bayelsa State, Nigeria
Chibuzo Emeruwa, Nnamdi N. Omehe
-
Comparison of Machine Learning Techniques for Single Imputation on Audiograms
Sarah Beaver, Renee Bryce
-
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
-
Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
-
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
Conference venue information will be released soon.
Big Data Storage
Big Data Query Languages and Optimization
Big Data Analytics and User Interfaces
Big Data Indexing
Big Data Analytics
Big Data Quality and Provenance Control
Social Networking Big Data Graph Management
Visualization Analytics for Big Data
Big Data Searching and Discovery
Big Data Management in Mobile Applications
Scalability and parallelization for cloud intelligence: map-reduce and beyond
Analytics for the cloud infrastructure
Analytics for unstructured, semi-structured, and structured data
Semantic web intelligence
Analytics for temporal, spatial, spatio-temporal, and mobile data
Analytics for data streams and sensor data
Analytics for multimedia data
Analytics for social networks
Real-time/right-time and event-based analytics
Privacy and security in cloud intelligence
Reliability and fault tolerance in cloud intelligence
Big Data Application design and deployment
Data mining techniques: clustering, classification, association rules, decision trees, etc.
Data and knowledge representation
Knowledge discovery framework and process, including pre- and post-processing
Integration of data warehousing, OLAP and data mining
Integrating constraints and knowledge in the KDD process
Exploring data analysis, inference of causes, prediction
Evaluating, consolidating, and explaining discovered knowledge
Statistical techniques for generation a robust, consistent data model
Interactive data exploration/visualization and discovery
Languages and interfaces for data mining
Data Mining Trends, Opportunities and Risks
Data Mining from low-quality information sources
| Abstracts/Full-Text Paper Submission Deadline |
|
May 15, 2024 |
| Notification of Acceptance/Rejection |
|
May 30, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
September 24, 2025 |
| Conference Dates |
|
October 25-26, 2025 |
