University of Bedfordshire
Luton. UK
November 27-29, 2023
Hybrid mode- Virtual/Physical
www.socio.org.uk/ddp
IEEE CPS will publish the proceedings (Xplore)

Data grows voluminously and exponentially with heterogeneity and complexity. A single organisation or industry processes over a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyse and process data more efficiently, where Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. 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 is 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 analyse voluminous datasets. Analysing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from 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

The IEEE Xplore will publish the DDP papers. Besides modified versions of the papers will appear in the following journals.

 1. Journal on Data Semantics
 2. Technologies
 3. Data Technologies and Applications
 4. Journal of Digital Information Management
 5. International Journal of Computational Linguistics
 6. Journal of Computational Methods in Sciences and Engineering

Important Dates

Full Paper Submission: September 10, 2023
Notification of Acceptance/Rejection: October 10, 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

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
Hathairat Ketmaneechairat, King Mongkut’s University of Technology, North Bangkok, Thailand

Paper Submission: http://socio.org.uk/ddp/paper-submission/

Contact: stm@socio.org.uk