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EAI BDTA 2023 : 13th EAI International Conference on Big Data Technologies and Applications

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Link: https://infoscale.eai-conferences.org/2023/
 
When Aug 23, 2023 - Aug 24, 2023
Where Edinburgh
Submission Deadline Apr 30, 2023
Notification Due May 30, 2023
Final Version Due Jun 15, 2023
Categories    big data   data mining   machine learning
 

Call For Papers

EAI BDTA 2023: The 13th EAI International Conference on Big Data Technologies and Applications

Edinburgh, UK, 23-24 August 2023

Conference website https://infoscale.eai-conferences.org/2023/
Submission link https://infoscale.eai-conferences.org/2023/submission/

Submission Deadline: **30 April 2023**
The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm.


The 13th EAI International Conference on Big Data Technologies and Applications will be held in Edinburgh, the United Kingdom. This conference provides a leading forum for the presentation of new advances and research results in the fields of big data technologies and applications. The conference will bring together leading researchers, businessmen, and scientists in the domain of interest from around the world.


== Submission Guidelines ==

- Papers should be in English.
- Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.
- The paper submissions must follow the Springer formatting guidelines (see Author’s kit section on https://infoscale.eai-conferences.org/2023/submission/).
- Read the Publication Ethics and Malpractice Statement.

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

Regular papers should be 12-18 pages in length.
Short papers should be 6-11 pages in length.


Paper templates can be downloaded from:
- LaTeX2e Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip
- Microsoft Word Proceedings Templates (zip) - https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip


== Objectives, Scope, and Topics ==

All the topics related to big data techniques, such as big data collection and storage, big data management and retrieval, big data mining approaches, and big data visualization, are in the scope of BDTA 2023. Besides, its applications in all related areas, such as business, education, medicine, management, and health, are also in the scope of BDTA 2023.

We welcome contributions from the following fields:

Hardware and Software solutions for Big Data Searching, Storing and Management
Data Visualization and Visual Analytics
Natural Language Processing in Big Texts
Biomedical Imaging Pre-processing and Analysis
Structured and Unstructured Data Mining
Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms
Scalable Computational Intelligence Tools
Novel Computational Intelligence Approaches for Data Analysis
Evolutionary and Bio-inspired Approaches for Big Data Analysis
New Domains and Novel Applications Related to Big Data Technologies
Educational Data Mining. Learning Analysis
Artificial Intelligence in Education. Medical Informatics
Information Systems Security
Meta Heuristic Optimization
Blockchain Technologies


== Committees ==

General Chair
Associate Prof. Zhiyuan Tan
Edinburgh Napier University, Edinburgh, UK

General Co-Chair
Prof. Huiyu Zhou
University of Leicester, Leicester, UK

Technical Program Committee Chairs
Associate Prof. Min Xu
University of Technology Sydney, Sydney, Australia

Dr Yulei Wu
University of Exeter, Exeter, UK


Publicity and Social Media Chair
Dr Yanchao Yu
Edinburgh Napier University, Edinburgh, UK

Workshop Chair
Dr Xingjie Wei
University of Leeds, Leeds, UK

Sponsorship & Exhibit Chair
Dr Nour Moustafa
University of New South Wales (UNSW) Canberra, Canberra, Australia

Publication Chair
Prof. Amin Beheshti
Macquarie University Sydney, Australia

Local Chair
Dr Kehinde Babaagba
Edinburgh Napier University, Edinburgh, UK


== Publication ==

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH.

Additional publication opportunities:

EAI Transactions series (Open Access)
EAI/Springer Innovations in Communications and Computing Book Series
(titles in this series are indexed in Ei Compendex, Web of Science & Scopus)


== Venue ==

Edinburgh, United Kingdom


== Contact ==

EAI BDTA 2023 Conference Manager: veronika.kissova@eai.eu

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