MLBDM 2023 - 2023 3rd International Conference on Machine Learning and Big Data Management（MLBDM 2023）-EI Compendex

2023 3rd International Conference on Machine Learning and Big Data Management（MLBDM 2023）-EI Compendex
Location: Sanya, China
Dates: December 22nd-24th, 2023
Website: http://www.mlbdm.net/
E-mail: sub-AT-mlbdm.net
Conference Format: Online and In-person
2023 3rd International Conference on Machine Learning and Big Data Management will be held during December 22-24, 2023 in Sanya, China.
2023 3rd International Conference on Machine Learning and Big Data Management aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Machine Learning and Big Data Management. MLBDM 2023 will include presentations in form of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.
Call For Papers:
Unsupervised Learning
Computational Theories of Learning
Big Data Visualization
Image Classification
Diagnositics
Population Growth Prediction
Market Forecasting
Intelligent Search
Data Access
Robot Navigation
Data Mining
Intelligent Systems
Neural Networks and applications
(For more topics: http://www.mlbdm.net/topics.html )
Paper Publication and Indexing:
All Accepted papers after proper registration and presentation will be included in Conference Proceedings, published by ACM (ISBN: 979-8-4007-0920-3) again, and then indexed by Ei Compendex and Scopus.
*All accepted papers of MLBDM 2021 have been published by ACM (ISBN: 978-1-4503-9834-3) and indexed by EI Compendex and Scopus within one month after published.
*All accepted papers of MLBDM 2021 have been published by ACM (ISBN: 978-1-4503-8505-3) and indexed by EI Compendex and Scopus within one month after published.
Paper Submission (ONLY Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/MLBDM2023/
2. Email Submission: sub-AT-mlbdm.net
Speakers:
Prof. Henry Leung, Fellow IEEE, Fellow SPIE, University of Calgary, Canada
Prof. Benjamin W. Wah, Fellow of IEEE, The Chinese University of Hong Kong, Hong Kong
Prof. James Tin Yau KWOK, Fellow IEEE, Hong Kong University of Science and Technology, Hong Kong, China
Prof. Huiyu Zhou, University of Leicester, UK
Distinguished Professor Wanyang Dai, Nanjing University, China
Prof. Yong Yue, Head of Department, Fellow IET, FHEA, Xi'an Jiaotong-Liverpool University, China
You are also welcome to join us as:
As Presenter: If you want to share you latest research results by giving presentation without publish papers, please submit your abstract (300-400 words)
As Listener: You are also warmly welcomed to take part in MLBDM 2023 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of MLBDM 2023, we cordially invite experts and scholars join us as a reviewer.
Contact us:
Mrs. Julia Zhu
Email: sub-AT-mlbdm.net
Tel: +852 95096877
Website: http://www.mlbdm.net/