2025年第五届机器学习与大数据管理国际会议 (MLBDM 2025) 
2025 5th International Conference on Machine Learning and Big Data Management(MLBDM 2025)会议地点：南京，中国
时间：2025年12月26日- 28日 
网址：http://www.mlbdm.net/  
邮箱：sub@mlbdm.net  

● 会议简介
2025年第五届机器学习与大数据管理国际会议 (MLBDM 2025) 将于 2025 年 12 月 26 日至 28 日在中国南京举行。MLBDM 2025 将汇集顶尖的学术科学家、研究学者和研究人员，分享和交流他们在机器学习与大数据管理各方面的经验和研究成果。它还将为研究人员、从业人员和教育工作者提供一个首要的跨学科论坛，介绍和讨论机器学习与大数据管理领域的最新创新、趋势、关注点、遇到的实际挑战以及采用的解决方案。

● 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IEEE出版，并被Ei Compendex、Scopus和其他重要数据库检索。

*MLBDM 2024所有被录用的文章已成功被IEEE (ISBN: 979-8-3315-2931-4)出版，并被IEEE Xplore收录，并于出版后1个月被Ei核心和Scopus检索
*MLBDM 2023所有被录用的文章已成功被ACM (ISBN: 979-8-4007-0920-3)出版，并于出版后一个月被Ei核心和Scopus检索
*MLBDM 2022所有被录用的文章已成功被ACM (ISBN: 978-1-4503-9834-3)出版，并于出版后一个月被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，并于出版后一个月被Ei核心和Scopus检索

● 征文主题 
（主题包括但不限于这些，更多详细主题请见官网：http://www.mlbdm.net/topics.html ）
无监督学习
大数据搜索的算法和系统
有意义的压缩
分布式和点对点搜索
学习的计算理论
大数据搜索架构、可扩展性和效率
大数据可视化
数据获取、整合、清理和最佳实践
结构发现
大数据可视化分析
特征提取
计算建模和数据整合

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

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

Prof. Zhigeng Pan, 南京信息工程大学，中国

Prof. Hongbo Jiang, 湖南大学，中国

Prof. Chun-Yi Su, 广东工业大学，中国

● 提交论文
1. CMT线上投稿系统：https://cmt3.research.microsoft.com/MLBDM2025/ 
2. 直接将您的文章或摘要投到我们的会议邮箱，我们收到后会第一时间回复您。
投稿邮箱：sub@mlbdm.net 
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. 请根据格式模板文件编辑您的文章（http://www.mlbdm.net/submission.html ）
4. 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。

● 联系方式
会议官网：http://www.mlbdm.net/ 
邮箱：sub@mlbdm.net 
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 2025”）
 
2025 5th International Conference on Machine Learning and Big Data Management (MLBDM 2025)
Location: Nanjing, China
Dates: December 26-28, 2025
Website: http://www.mlbdm.net/ 
E-mail: sub@mlbdm.net 
Conference Format: Online and Onsite

2025 5th International Conference on Machine Learning and Big Data Management (MLBDM 2025) will be held during December 26-28, 2025 in Nanjing, China. MLBDM 2025 is to bring together leading academic scientists, research scholars and researchers to share and exchange their experiences and research results about all aspects of Machine Learning and Big Data Management. It would also provide a premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of Machine Learning and Big Data Management.

Topics:
Unsupervised Learning
Algorithms and Systems for Big Data Search
Meaningful Compression
Distributed, and Peer-to-peer Search
Computational Theories of Learning
Big Data Search Architectures, Scalability and Efficiency
Big Data Visualization
Data Acquisition, Integration, Cleaning, and Best Practices
Structure Discovery
Visualization Analytics for Big Data
Feature Elicitation
Computational Modeling and Data Integration
 (For more topics: http://www.mlbdm.net/topics.html )

Paper Publication and indexing:
Accepted papers after proper registration and presentation will be included in Conference Proceedings, published by IEEE, archived in IEEE Xplore and indexed by Ei Compendex, Scopus and other important databases.

*All accepted papers of MLBDM 2024 have been published by IEEE, archived in IEEE Xplore (ISBN: 979-8-3315-2931-4) and indexed by EI Compendex and Scopus within one month after published.
*All accepted papers of MLBDM 2023 have been published by ACM (ISBN: 979-8-4007-0920-3) and indexed by EI Compendex and Scopus within one month after published.
*All accepted papers of MLBDM 2022 conference proceedings 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.

Speakers:
Prof. James Tin Yau KWOK, Fellow IEEE, The Hong Kong University of Science and Technology, Hong Kong, China
Prof. Benjamin W. Wah, Fellow IEEE, The Chinese University of Hong Kong, Hong Kong, China
Prof. Zhigeng Pan, Nanjing University of Information Science and Technology, China
Prof. Hongbo Jiang, Hunan University, China
Prof. Chun-Yi Su, Guangdong University of Technology, China

Paper Submission (Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/MLBDM2025/ 
2. Email Submission: sub@mlbdm.net 

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 2025 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of MLBDM 2025, we cordially invite experts and scholars join us as a reviewer.

Contact us:
Conference Secretary: Ms. Caroline Li
Email: sub@mlbdm.net
Tel: +852 95096877
Website: http://www.mlbdm.net/