ICBDADS 2025: 19. International Conference on Big Data and Data Science
July 24-25, 2025 in Rhodes, Greece
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 and 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 Big Data and 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 Big Data and 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data and Data Science are cordially invited for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 Big Data and Data Science has teamed up with the Special Journal Issue on Big Data and 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.
Application Forms
Selected Papers
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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 -
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 -
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 -
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou -
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp -
AI-Driven Cloud Security: Proactive Defense Against Evolving Cyber Threats
Ashly Joseph -
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty -
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 -
Unveiling the Mathematical Essence of Machine Learning: A Comprehensive Exploration
Randhir Singh Baghel -
Comparison of Machine Learning Techniques for Single Imputation on Audiograms
Sarah Beaver, Renee Bryce -
Metrology-Inspired Methods to Assess the Biases of Artificial Intelligence Systems
Belkacem Laimouche
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 Science and Foundations
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards
Big Data Infrastructure
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms for Big Data
Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
Energy-efficient Computing for Big Data
Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
Software Techniques and Architectures in Cloud/Grid/Stream Computing
Big Data Open Platforms
Big Data Programming Models
Software Systems to Support Big Data Computing
Big Data Management
Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/Stream Data Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data- Big Variety Data
Big Data Search and Mining
Social Web Search and Mining
Web Search
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/StreamData Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data-Big Variety Data
Big Data Learning and Analytics
Predictive analytics on Big Data
Machine learning algorithms for Big Data
Deep learning for Big Data
Feature representation learning for Big Data
Dimension redution for Big Data
Physics informed Big Data learning
Ethics, Privacy and Trust in Big Data Systems
Techniques and models for fairness and diversity
Experimental studies of fairness, diversity, accountability, and transparency
Techniques and models for transparency and interpretability
Trade-offs between transparency and privacy
Intrusion Detection for Gigabit Networks
Anomaly and APT Detection in Very Large Scale Systems
High Performance Cryptography
Visualizing Large Scale Security Data
Threat Detection using Big Data Analytics
Privacy Preserving Big Data Collection/Analytics
HCI Challenges for Big Data Security & Privacy
Trust management in IoT and other Big Data Systems
Hardware/OS Acceleration for Big Data
FPGA/CGRA/GPU accelerators for Big Data applications
Operating system support and runtimes for hardware accelerators
Programming models and platforms for accelerators
Domain-specific and heterogeneous architectures
Novel system organizations and designs
Computation in memory/storage/network
Persistent, non-volatile and emerging memory for Big Data
Operating system support for high-performance network architectures
Big Data Applications
Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
Big Data Analytics in Small Business Enterprises (SMEs)
Big Data Analytics in Government, Public Sector and Society in General
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data as a Service
Big Data Industry Standards
Experiences with Big Data Project Deployments
| Abstracts/Full-Text Paper Submission Deadline | January 15, 2025 | |
| Notification of Acceptance/Rejection | January 31, 2025 | |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline | February 27, 2024 | |
| Conference Dates | July 24-25, 2025 |