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 analyse the voluminous datasets. Analysing 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 is technically supported by IEEE 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.

  1. Journal on Data Semantics
  2. Technologies
  3. Data Technologies and Applications
  4. Webology
  5. Journal of Digital Information Management
  6. International Journal of Computational Linguistics
  7. Journal of Optimization
  8. International Journal of Distributed Systems and Technologies

Important Dates

Full Paper Submission: October 01, 2022
Notification of Acceptance/Rejection: November 01, 2022
Registration Due: November 25, 2022
Camera Ready Due: December 01-09, 2022
Workshops/Tutorials/Demos: December 08-09, 2022
Main conference December 07-09, 2022

Keynote Speakers
Eleni (Helen) Karatza, Aristotle University of Thessaloniki, Greece
Maria Fasli, University of Essex, UK

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/ddp/paper-submission/

Contact: ddp@socio.org.uk