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 Data Science
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Data Science.
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 Data Science.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Data Science 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 Data Science has teamed up with the Special Journal Issue on
Data Science.
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 Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
-
Using Historical Data for Stock Prediction of a Tech Company
Sofia Stoica
-
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
-
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
-
A Case Study to Observe How Students’ Perception of the Possibility of Success Impacts Their Performance in Summative Exams
Rochelle Elva
-
Climate Change in Albania and Its Effect on Cereal Yield
L. Basha, E. Gjika
-
A Text Classification Approach Based on Natural Language Processing and Machine Learning Techniques
Rim Messaoudi, Nogaye-Gueye Gning, François Azelart
-
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
-
Emerging Technology for 6G Networks
Yaseein S. Hussein, Victor P. Gil Jiménez, Abdulmajeed Al-Jumaily
-
Assisted Prediction of Hypertension Based on Heart Rate Variability and Improved Residual Networks
Yong Zhao, Jian He, Cheng Zhang
-
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
-
A Machine Learning Approach for Earthquake Prediction in Various Zones Based on Solar Activity
Viacheslav Shkuratskyy, Aminu Bello Usman, Michael O’Dea, Mujeeb Ur Rehman, Saifur Rahman Sabuj
-
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
-
Cyber Fraud Schemes: Modus Operandi, Tools and Techniques, and the Role of European Legislation as a Defense Strategy
Papathanasiou Anastasios, Liontos George, Liagkou Vasiliki, Glavas Euripides
-
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
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.
Big data cloud, mining and management
Big data storage, processing, sharing and visualisation
Big data systems, tools, theory and applications
Business analytics, intelligence and mathematics
Computer science, hacking skills
Informatics and information systems and technology
Machine learning, web-based decision making
Management science, social sciences and statistics
Mathematical optimisation and mathematics of decision sciences
Multiple source data processing and integration
Network and social-graph analysis
Optimisation, performance measurement
Security and privacy
System analysis and theory
Volume, velocity and variety of big data on cloud
| Abstracts/Full-Text Paper Submission Deadline |
|
October 01, 2024 |
| Notification of Acceptance/Rejection |
|
October 15, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
December 15, 2024 |
| Conference Dates |
|
January 16-17, 2025 |
