Conference Venue-
Putteridge Bury Conference Centre
University of Bedfordshire
Hitchin Road
Luton LU2 8LE
Bedfordshire
Workshop on Generative AI models
Data grows voluminously and exponentially with heterogeneity and complexity. A single organization or industry processes more than a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyze and process data more efficiently where the
Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. The data applications have introduced cutting-edge possibilities in every activity in our life. Thus, studying data and its underlying structure, dynamics of data relations, and newer data technologies are a never-ending process. The literature and research on data management are enormous; they do not sufficiently solve the data processing requirements.
Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyze voluminous datasets. Analyzing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from the data analysis can enable the production of critical information for several domains.
Hence this conference reviews and discusses the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that require further consideration/
The proposed conference will discuss topics not limited to
- Data applications in various domains and activities
- Data in cloud
- Real-world data processing
- Data inaccuracy and reliability issues
- Data Ecosystem
- Business Analytics
- New data analytics techniques
- Physical and management challenges
- Privacy and Security
- Crowdsourcing and Sensing
- Data modelling
- Deep learning techniques
- Data fusion
- Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics
- Machine learning
- Network optimization
- Data in Biomedical Engineering
- Data in Materials science and mechanics
- Data handling and applications in domains
- Wireless Networking Data Management
- Data of Electronic & Embedded Systems
- Multi-media Systems Data
- Artificial intelligence Models and Systems Data
- E-Computing Data
- Renewable Energies Data
Publications
DDP will be published by Conference Publishing Services (CPS)” . The DDP papers will be submitted for publication and indexing in IEEE Xplore. Besides, modified versions of the papers will appear in the following journals.
- Journal on Data Semantics
- Technologies
- Data Technologies and Applications
- Webology
- Journal of Digital Information Management
- International Journal of Computational Linguistics
- Journal of Optimization
- International Journal of Distributed Systems and Technologies
Important Dates
Full Paper Submission: September 25, 2023
Notification of Acceptance/Rejection: October 15, 2023
Registration Due: November 10, 2023
Camera Ready Due: November 10, 2023
Workshops/Tutorials/Demos: November 28, 2023
Main conference: November 27-29, 2023
Post-conference proceedings: December 20, 2023
Program Committee
General Chair
Ezendu Ariwa, Chair UK& RI IEEE TEMS, UK
Program Chairs
Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua, Portugal
Simon Fong, University of Macau, Macau
Program Co-Chairs
Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico
Dion Goh, Nanyang Technological University, Singapore
Publicity Chair
Mohsin Beniysa, Abdelmalek Essaâdi University, Morocco
Paper Submission: http://socio.org.uk/ddp2023/paper-submission/
Contact: stm@socio.org.uk