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DATA 2023 : The 4th International Conference on Data Science, E-learning and Information Systems 2023


When Apr 25, 2023 - Apr 27, 2023
Where American University of Dubai, Dubai, UAE
Submission Deadline Nov 1, 2022
Notification Due Nov 20, 2022
Final Version Due Feb 20, 2023
Categories    data science   computer science   e-learning    management information systems

Call For Papers

The 4th International Conference on Data Science, E-learning and Information Systems 2023 (Data'2023) will take place in the American Univesity of Dubai (AUD), Dubai, UAE in 25-27 April, 2023. The conference is technically co-sponsored by IEEE (Pending).

DATA'23 is a significant event dedicated mainly to Data & AI. We will show you how through innovation with data & AI you may transform your organization, which is leading us into the next industry revolution. During the Conference you will be able to attend high-quality Tech Tutorials, listen to distrupive talks delivered by world-class experts & to follow our specially created Data Discussions.

The best papers will be extended in a number of Journals' Special Issues (SCI, SCOPUS)

Previous Editions:
Association for Computing Machinery (ACM)_ICPS, New York, NY, United States
1. Conference:
DATA '18: International Conference on Data Science, E-learning and Information Systems 2018 Madrid Spain October, 2018

2. Conference:
DATA'19: International Conference on Data Science, E-learning and Information Systems 2019, Sponsored by UAE ACM ChapterDubai United Arab Emirates December, 2019

3. Conference: DATA'21
ISBN: 978-1-4503-8838-2

The conference has the focus on the frontier topics in the theoretical and applied data science and engineering, IS and e-learning subjects. Data'2021 conference serves as good platforms for our members and the entire data engineering, IS and E-learning community to meet with each other and to exchange ideas.

Data'2022 conference is composed of the following 5 tracks - Topics of interest include, but are not limited to, the following:

- Data Science and Engineering: Data Fusion, Data Mining, Aerial Image Analysis, Unmanned Aerial Systems, Social networks, Collaborative Networks, web services, Advanced Analytics, Big Data, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud, data capture, creation, storage, search, sharing, modeling, analysis, and visualization, machine learning, statistics, optimization and managing big mutimedia data.

- Business Analytics
E-Learning and Educational in ICT: E-learning, Engineering Education, Distance Education, Educational Technology, Virtual education and others.

- Computing & Applications: OS, Databases, Cloud Computing, Soft Computing, Genetic Programming, Genetic Algorithm, Swarm Intelligence, Machine Learning, Pattern Recognition, Fuzzy Systems, Fuzzy Logic, Neural network, Machine Learning, Multi-Agent Systems, Neural Genetic Systems, Neural Fuzzy Systems, Pattern Recognition, Time Series Analysis, Forecasting, Reinforcement Learning, tatistical Data Analysis, Complex Systems, Evolutionary Systems, Applications of soft computing to: Control problems, sensor fusion, manufacturing, testing and diagnostics, semiconductor processing, modeling of complex systems, approximate reasoning, optimization, management science, decision analysis, information systems, economics, financial systems, business applications, forecasting, reliability, cost-benefit analysis, risk assessments, medical applications, forensic applications, automotive applications, robotics, automation, etc. New developments in soft computing: Development of applications or approaches combining fuzzy logic, neural networks, evolutionary computation, expert systems, etc.Soft computing software, Hardware implementations of soft computing.

- Information Systems (IS): Information Theory, IT governance, Knowledge Management, e-Commerce vs. e-Business, Building an e-Business, e-Gov, Designing a web site, elements of a web site, evaluation and usability, Web site design: Site plan, strategies and designs, E-commerce Web Site Design: Strategies and Model, Payments, CRM, B2B e-Commerce, KPMG presentation other topics related in IS.

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