The 7th International Workshop on
Data Science Engineering and its Applications (DSEA 2024)
In conjunction with
The 11th International Conference on Social Networks Analysis, Management and Security(SNAMS-2024)
Gran canaria, Spain 9-11 Dec 2024.
Today, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytic, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets.
The 7th International Workshop for Data Science Engineering and Applications (DSEA 2024) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications.
The topics of interest for this workshop include, but are not limited to:
- Architecture, management and process for Data Science
- Big Data Mining and Knowledge Management
- Evaluation and Measurement in Data Science
- Privacy and protection standards and policies for Data Science
- Data Quality
- Data science for the internet of things (IoT)
- Management Issues of Social Network Big Data
- Big Data Computing for Data science
- Social Network and Big Data Analytics
- Open Source tools for Data Science and Big Data
- Data Mining for Data science
- High performance computing for data analytic
- Mathematical Issues in Data Science and Applications
- Cloud Computing for Big Data and Social Networks
- Data Science and Big Data for the Internet of Things
- Data Science and Big Data Management for Large-scale databases
- Data Science and Big Data for Decision Making
- Visualization tools for Data Science and Big Data
- Data-driven Scientific Research
- Data warehouses and cloud computing support for Data Science
- Case studies
Organising Committee
General Co-chairs
Sateesh Kumar Peddoju, Indian Institute of Technology Roorkee, Roorkee, India
Thar Baker, Liverpool John Moores University, Liverpool, UK
Technical Program Co-chairs
Ruofei Shen, Facebook, USA
Sugam Sharma, Founder & CEO, eFeed-Hungers.com, USA
Publication Chairs
Efren Mezura-Montes, University of Veracruz, Mexico
Vaskar Raychoudhury, Miami University, USA
Samia Gamoura, Université de Lyon, France
Parijat Shukla, Xilinx, Inc., India
Publicity Chairs
Kavitha Kadarla, IIT Roorkee, India
Sandra Sendra, Universidad de Granada, Spain
Vikas Chouhan, IIT Roorkee, India
Technical Programme Committee
Halil Ibrahim Koruca, SDU, Turkey
Benyamina Abou El Hassan, University of Oran, Algeria
El Abbassia Deba, University of Oran, Algeria
Dileep Kumar Yadav, Jawaharlal Nehru University, India
Loukil Lakhdar, University of Oran, Algeria
Manoj Agarwal, Microsoft
Rajesh P, K L University, India
Efren Mezura-Montes, University of Veracruz, Mexico
Sandra Sendra, Universidad de Granada, Spain
Vaskar Raychoudhury, Miami University, USA
Sugam Sharma, Iowa State University, Iowa, USA
Samia Gamoura, Université de Lyon, France
Abdallah Khreishah, New Jersey Institute of Technology, USA
Lavanya Sharma, Govind Ballabh Pant Engineering College, UK
Sabeur Elkosantini, King Saud University, KSA
Manisha Malhotra, Chandigarh University, India
Ajay Chaudhary, Indian Institute of Technology Roorkee, India
Vikas Chouhan, Indian Institute of Technology Roorkee, India
Sabeur Elkosantini, King Saud University, KSA
Derrouiche Ridha, Strasbourg University, France
S B Goyal, City University, Malaysia
Mahmoud Al-Ayyoub, Jordan University of Science and Technology, Jordan
Elhadj Benkhelifa , Staffordshire University, UK E.Benkhelifa@staffs.ac.uk
Thuraisingham, Bhavani, The University of Texas at Dallas, USA
Mohammad AL-Smadi, Jordan University of Science and Technology, Jordan
Christian Guetl, Graz University of Technology, Graz, Austria
Mahmoud Al-Ayyoub, JUST, Jordan
Qutaibah Althebyan, JUST, Jordan
Suleyman Eken, Kocaeli University, Turkey.
Andy Rindos, IBM Research, USA
Jianwu Wang, University of California, San Diego, USA
Ahmed Bouridane, University of Northumbria, UK
Mohamed Abdel-Maguid, University Campus Suffolk, UK
Elhadj Benkhelifa, Staffordshire University UK.
Yaser Jararweh, Carnegie Mellon University, USA.
Submission Date: 8th Nov, 2024
Paper Submission
15th Nov, 2024
Author's Notification
20th Nov, 2024
Camera-ready paper submission
20th Nov, 2024
Registration Deadline
Submission Instructions
Papers selected for presentation will appear in the DSEA - SNAMS Proceedings, which will be published by the IEEE Computer Society and be submitted to IEEE Xplore for inclusion. Papers must be 6 pages in IEEE format, 10pt font using the IEEE 8.5" x 11" two-column format, single space, A4 format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. Papers should be submitted electronically by the deadline to: https://easychair.org/conferences/?conf=snams2024.
Journal Special Issue
Selected papers from the workshop will be invited to submit an extended version to the one of the following journals:
1. Information Processing & Management (IP&M).
2. The Journal of Universal Computer Science (J.UCS).
3. International Journal of Spatio-Temporal Data Science.
Papers will be selected based on their reviewers’ scores and appropriateness to the Journal’s theme. All extended versions will undergo reviews and must represent original unpublished research work. Further details will be made available at a later stage.
Workshop Program: TBA
Sponsors and Organizers
