July 16th, 2024 
Daniela Lopez de Luise Yeshiva University. New York. US
September 30-October 01, 2024
(www.socio.org.uk/ddp)
(IEEE Xplore indexed)
As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processing needs. Many studies focus on developing models and systems for analyzing large datasets.
Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention.
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
Synthetic data
Data synthesis
Crowdsourcing and Sensing
Data modelling
Deep learning techniques
Data fusion
Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics
Machine learning impact on data processing
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
General Chair
Honggang Wang, Yeshiva University, USA
Program Chairs
Youshan Zhang, Yeshiva University, USA
Ezendu Ariwa, Warwick University, UK
Simon Fong, University of Macau, Macau
Program Co-chairs
Martin Lopez Nores, University of Vigo, Spain
Keynote Speakers
1. Xiaofan (Fred) Jiang, Columbia University
2. Edwin Chihchuan Kan, Cornell University
Publications
All accepted and presented papers will be submitted to IEEE Xplore for publication and indexing.
The DDP 2024 has a co-located workshop on Data Analytics in Biomedicine
Modified versions of the papers will appear in the following journals.
Journal of Digital Information Management
International Journal of Computational Linguistics
Information Services & Use
Important Dates
Submission of Papers: July 31, 2024
Notification of Acceptance/Rejection: August 25, 2024
Camera-ready: September 25, 2024
Registration: September 25, 2024
Conference Dates: September 30- October 01, 2024
Post-Conference Proceedings Release: November 15, 2024
Paper submission
Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/
Contact: ddp@socio.org.uk
