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.