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@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@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@mlbdm.net
Tel: +852 95096877
Website:
http://www.mlbdm.net/
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