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 Advances in Big Data and Data Sciences
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Advances in Big Data and Data Sciences.
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 Advances in Big Data and Data Sciences.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Advances in Big Data and Data Sciences 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 Advances in Big Data and Data Sciences has teamed up with the Special Journal Issue on
Advances in Big Data and Data Sciences.
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
-
A Case Study to Observe How Students’ Perception of the Possibility of Success Impacts Their Performance in Summative Exams
Rochelle Elva
-
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
-
Utilizing the Principal Component Analysis on Multispectral Aerial Imagery for Identification of Underlying Structures
M. Bosques-Perez, W. Izquierdo, H. Martin, L. Deng, J. Rodriguez, T. Yan, M. Cabrerizo, A. Barreto, N. Rishe, M. Adjouadi
-
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
-
An Empirical Investigation of Big Data Analytics: The Financial Performance of Users versus Vendors
Evisa Mitrou, Nicholas Tsitsianis, Supriya Shinde
-
Injury Prediction for Soccer Players Using Machine Learning
Amiel Satvedi, Richard Pyne
-
The Use of Artificial Intelligence in Digital Forensics and Incident Response in a Constrained Environment
Dipo Dunsin, Mohamed C. Ghanem, Karim Ouazzane
-
Optimizing Data Evaluation Metrics for Fraud Detection Using Machine Learning
Jennifer Leach, Umashanger Thayasivam
-
Topic Modeling Using Latent Dirichlet Allocation and Latent Semantic Indexing on South African Telco Twitter Data
Phumelele P. Kubheka, Pius A. Owolawi, Gbolahan Aiyetoro
-
Thresholding Approach for Automatic Detection of Pseudomonas aeruginosa Biofilms from Fluorescence in situ Hybridization Images
Zonglin Yang, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Thiruvarangan Ramaraj
-
Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
-
Decision-Making Strategies on Smart Dairy Farms: A Review
L. Krpalkova, N. O' Mahony, A. Carvalho, S. Campbell, G. Corkery, E. Broderick, J. Walsh
-
Dissecting Big Trajectory Data to Analyse Road Network Travel Efficiency
Rania Alshikhe, Vinita Jindal
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.
Scalability and portability issues of big data
Platforms and technologies for big data
Modelling structure and storage of big data
Digital forensics
Parallel processing of big data
Distributed access of big data
Applications of big data
Data visualization
| Abstracts/Full-Text Paper Submission Deadline |
|
November 28, 2024 |
| Notification of Acceptance/Rejection |
|
December 12, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
July 27, 2024 |
| Conference Dates |
|
December 23-24, 2024 |
