2024 4th International Conference on Machine Learning and Big Data Management (MLBDM 2024) _ Academic conference Online

第十一届机械工程、材料和自动化技术国际会议（MMEAT 2025）

第五届计算机图形学、图像与虚拟化研究国际会议（ICCGIV 2025）

2025年软件工程与计算机应用国际学术会议（SECA 2025)

2025年健康信息化与数据分析国际学术会议（HIDA 2025）

第五届人工智能、大数据与算法国际学术会议 (CAIBDA 2025)

第二届数字系统与设计创新国际学术会议 ( ICDSDI 2025）

第九届土木建筑与结构工程国际学术会议（I3CSE 2025）

第六届教育、知识和信息管理国际学术会议（ICEKIM 2025）

第六届电子通讯与人工智能国际学术会议（ICECAI 2025）

2025年工程力学与智能制造国际学术会议（CEMIM 2025）

第六届城市建设与管理工程国际学术会议（ICUCME 2025）

第三届教育知识与信息化国际学术会议（EKI 2025）

第二届电力电子与电气工程国际学术会议（P3E 2025）

2025年人工智能与产品设计国际学术会议（AIPD 2025）

2025年电气工程、自动化与信息科学国际学术会议（EEAIS 2025）

第五届新材料与化学工程国际学术会议（AMCE 2025）

Meetings: 25933

2024 4th International Conference on Machine Learning and Big Data Management (MLBDM 2024) 2024-12-20 venue:广州市

2024 4th International Conference on Machine Learning and Big Data Management (MLBDM 2024)

Location: Guangzhou, China

Dates: December 20-22, 2024

Website: http://www.mlbdm.net/

E-mail: sub@mlbdm.net

Conference Format: Online and In-person

2024 4th International Conference on Machine Learning and Big Data Management (MLBDM 2024) will be held during December 20th-22th, 2024 in Guangzhou, China.

MLBDM 2024 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 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.

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

Structure Discovery

Visualization Analytics for Big Data

Feature Elicitation

Computational Modeling and Data Integration

Recommender Systems

Large-scale Recommendation Systems and Social Media Systems

(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, and indexed by Ei Compendex, Scopus and other important databases.

*All accepted papers of MLBDM 2023 conference proceedings 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 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 conference proceedings ACM (ISBN: 978-1-4503-8505-3) and indexed by EI Compendex and Scopus within one month after published.

MLBDM 2024 Speakers:

Prof. Lei CHEN (IEEE Fellow and ACM Distinguished Scientist), The Hong Kong University of Science and Technology (Guangzhou), China

Prof. James Tin Yau KWOK (IEEE Fellow), The Hong Kong University of Science and Technology, China

Prof. Maria Pia Fanti (IEEE Fellow), Polytechnic University of Bari, Italy

Prof. Daowen Qiu, Sun Yat-Sen University, China

Prof. Chun-Yi Su, Guangdong University of Technology, China

Prof. Li CHEN, Sun Yat-sen University, China

Assoc. Prof. Xie Ming, Nanyang Technological University, Singapore

Paper Submission (Choose one way to submit your paper):

1. Submission System: https://cmt3.research.microsoft.com/MLBDM2024/ (Recommend)

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 2024 as a listener even though you have no paper to submit.

As Reviewer: To ensure the fairness and guarantee the quality of MLBDM 2024, we cordially invite experts and scholars join us as a reviewer.

Conference Secretary: Ms. Caroline Li

Email: sub@mlbdm.net

Tel: +852 95096877

Website: http://www.mlbdm.net/

Conference website

重要会议推荐