International Conference on Big Data and Education on September 24-26, 2024 in Oxford, United Kingdom
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.icbde.org/
- Program URL: https://www.icbde.org/program.html
- Contact URL: https://www.icbde.org/contact.html
- Contact E-mail: [email protected]
- Location: Oxford, United Kingdom
- Date: September 24-26, 2024
- Final Submission: August 10, 2024
- Organization: International Economics Development and Research Center
- Conference Tags: big data big data analysis big data engineering education educational
Conference Proceedings:
Accepted papers of ICBDE 2024 after proper registration and presentation will be published in the ICBDE 2024 conference proceedings by ACM. Conference content will be submitted for indexing by Ei Compendex and Scopus.
ICBDE 2024 ISBN: 979-8-4007-1698-0
Publication History:
ICBDE2018 Proceedings was published by ACM (ISBN: 978-1-4503-6358-7). And successfully indexed by EI Compendex and Scopus.
ICBDE2019 Proceedings was published by ACM (ISBN: 978-1-4503-6186-6). And successfully indexed by EI Compendex and Scopus.
ICBDE2020 Proceedings was published by ACM (ISBN: 978-1-4503-7498-9). And successfully indexed by EI Compendex and Scopus.
ICBDE2021 conference proceedings are published by ACM (ISBN: 978-1-4503-8938-9). And successfully indexed by EI Compendex and Scopus.
ICBDE2022 conference proceedings are published by ACM (ISBN: 978-1-4503-9579-3). And successfully indexed by EI Compendex and Scopus.
ICBDE2023 conference proceedings are published by ACM (ISBN: 979-8-4007-0822-0). And successfully indexed by EI Compendex and Scopus.
Keynote Speakers:
Prof. Ryan Baker
University of Pennsylvania, USA
h-index 76
Director of the Penn Center for Learning Analytics
Editor of the journal Computer-Based Learning in Context
Prof. Tom Crick
Swansea University, UK
Editor-in-Chief of The Computer Journal
Chartered Fellow of the BCS and the IET,
Distinguished Speaker and Senior Member of the ACM
Prof. Yudong Zhang
University of Leicester, UK
h-index 84, Chair Professor, BCS Fellow
IEEE and ACM Senior Member
Invited Speakers:
Prof. Chun-Wei Lin
(IET Fellow; ACM Distinguished Member; IEEE Senior Member)
Western Norway University of Applied Sciences, Norway
Assoc. Prof. Yang Rui
Xi’an Jiaotong-Liverpool University, China
Assoc. Prof. Xie Ming
Nanyang Technological University, Singapore
Conference Program:
September 24, 2024
10:00 AM - 06:00 PM Sign-in
September 25, 2024
09:00 AM - 09:30 AM Opening Ceremony
09:30 AM - 10:10 AM Keynote Speech
10:10 AM - 10:30 AM Coffee Break
10:30 AM - 11:10 AM Keynote Speech
11:10 AM - 11:50 AM Keynote Speech
12:00 PM - 01:30 PM Lunch Break
01:30 PM - 06:00 PM Technical Sessions
06:30 PM - 08:00 PM Dinner
September 26, 2024
10:00 PM - 16:00 PM Academic Visit
Contact Us:
Conference Secretary: Ms. Doris Feng
Email: [email protected]
Tel : (+86) 17323120754 (China)
1.BIG DATA APPLICATIONS
Big Data Analytics in Small Business Enterprises (SMEs)
Big Data Analytics in Government
Big Data Industry Standards
Experiences with Big Data Project Deployments
Novel Theoretical Models for Big Data
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms
Energy-efficient Computing for Big Data
Big Data Open Platforms
2. BIG DATA MANAGEMENT
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Link and Graph Mining
Mobility and Big Data
3. AI IN EDUCATION
Adaptive Educational Systems
Intelligent Modelling
Authoring Tools for Intelligent Tutoring Systems
Learning with AI Systems
Agent-Based Learning Environments
Architectures for AI-based Educational Systems
Machine Learning
Learning Analytics and Educational Data Mining
Pedagogical Agents
Natural Language Processing
4. BIG DATA SCIENCE
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards
Social Web Search and Mining
Web Search
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Computational Modeling and Data Integration
Cloud/Grid/StreamData Mining- Big Velocity Data
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data-Big Variety Data
Name: International Economics Development and Research Center
Website: http://www.iedrc.org/
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