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 and Advanced Analytics
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 and Advanced Analytics.
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 and Advanced Analytics.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 and Advanced Analytics 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 and Advanced Analytics has teamed up with the Special Journal Issue on
Data Science and Advanced Analytics.
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
-
Bridge Health Monitoring: A Review
Mohammad Bakhshandeh
-
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
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
-
Emerging Technology for 6G Networks
Yaseein S. Hussein, Victor P. Gil Jiménez, Abdulmajeed Al-Jumaily
-
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
-
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
-
Assisted Prediction of Hypertension Based on Heart Rate Variability and Improved Residual Networks
Yong Zhao, Jian He, Cheng Zhang
-
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
-
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
Conference venue information will be released soon.
Best practices and lessons
Data-intensive organizations, business and economy
Domain-specific applications
Business/government analytics
Online/social/living/environment data analysis
Mobile analytics for hand-held devices
Quality assessment and interestingness metrics
Complexity, efficiency and scalability
Anomaly/fraud/exception/change/event/crisis analysis
Large-scale recommender and search systems
Big data representation and visualization
Large scale application case studies
New mathematical, probabilistic and statistical models and theories
New machine learning theories, models and systems
New knowledge discovery theories, models and systems
Manifold and metric learning, deep learning
Scalable analysis and learning
Non-iidness learning
Heterogeneous data/information integration
Data pre-processing, sampling and reduction
High dimensional data, feature selection and feature transformation
Large scale optimization
High performance computing for data analytics
Architecture, management and process for data science
Learning for streaming data
Learning for structured and relational data
Intent and insight learning
Mining multi-source and mixed-source information
Mixed-type and structure data analytics
Cross-media data analytics
Big data visualization, modeling and analytics
Multimedia/stream/text/visual analytics
Relation, coupling, link and graph mining
Personalization analytics and learning
Web/online/social/network mining and learning
Structure/group/community/network mining
Cloud computing and service data analysis
| Abstracts/Full-Text Paper Submission Deadline |
|
November 14, 2024 |
| Notification of Acceptance/Rejection |
|
November 28, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
November 19, 2025 |
| Conference Dates |
|
December 20-21, 2025 |
