Conference Information
MLBDM 2023: International Conference on Machine Learning and Big Data Management
Submission Date:
2023-12-10 Extended
Notification Date:
Conference Date:
Sanya, China
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Call For Papers
[EI/Scopus] 2023年第三届机器学习与大数据管理国际会议(MLBDM 2023)  
2023 3rd International Conference on Machine Learning and Big Data Management (MLBDM 2023)
会议时间: 2023年12月22日-24日

● 会议简介
2023年第三届机器学习与大数据管理国际会议旨在为来自工业界、学术界和政府的研究人员、从业人员和专业人士提供一个论坛,讨论机器学习与大数据管理的研究和发展、专业实践。MLBDM 2023将包括投稿论文、海报会议和受邀主讲人的最新技术讲座等形式的演讲。

● 论文出版和检索
被录用的文章将被收录在会议论文集中,由ACM出版,并被Ei Compendex、Scopus和其他重要数据库检索。
*MLBDM 2021所有被录用的文章已成功被ACM(ISBN: 978-1-4503-9834-3)出版,并于出版后1个月被Ei核心和Scopus检索
*MLBDM 2021所有被录用的文章已成功被ACM(ISBN:978-1-4503-8505-3)出版,并于出版后1个月被Ei核心和Scopus检索

● 提交论文
1. 线上投稿系统: 
2. 投稿邮箱   
3. 审稿流程:作者投稿 - 稿件收到确认(1个工作日)- 初审(1-3工作日) - 复审(5-10工作日)- 告知结果(接受/拒稿),越早投稿越早收到文章结果。

● 投稿说明
1. 本会议官方语言为英语,投稿者务必用英语撰写论文。
2. 稿件应为原创作品,未在国内外刊物上发表过, 不接受一稿多投。 作者可通过Crosscheck, Turnitin或其他查询系统查重,否则由文章重复率引起的被拒搞将由作者自行承担责任。涉嫌抄袭的论文将不被出版,且公布在会议主页。
3. 请根据文章模板文件修改您的投稿
4. 文章至少8页,不超过12页。学生作者或多篇投稿有优惠。
5. 只做报告不发表论文的作者只需提交摘要。

● 征文主题 

● 演讲专家
Prof. Henry Leung (Fellow IEEE, Fellow SPIE)
卡尔加里大学, 加拿大

Prof. Benjamin W. Wah (Fellow of IEEE)
香港中文大学, 香港

Prof. James Tin Yau KWOK (Fellow IEEE)
香港科技大学, 中国香港

Prof. Huiyu Zhou
莱斯特大学, 英国

Distinguished Professor Wanyang Dai
南京大学, 中国

Prof. Yong Yue, Head of Department (Fellow IET, FHEA)
西交利物浦大学, 中国

● 联系方式
电话咨询:15001035132 (微信同号)
QQ咨询:1455341287(您将在第一时间得到回复,添加时请备注“MLBDM 2023”)

2023 3rd International Conference on Machine Learning and Big Data Management(MLBDM 2023)-EI Compendex
Location: Sanya, China
Dates: December 22nd-24th, 2023
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
Population Growth Prediction
Market Forecasting
Intelligent Search
Data Access
Robot Navigation
Data Mining
Intelligent Systems
Neural Networks and applications 
(For more topics: )

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 2022 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:   
2. Email Submission:   

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
Tel: +852 95096877
Last updated by Mauro Peart in 2023-12-01
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