2025 8th International Conference on Big Data and Machine Learning (BDML 2025)

12/12/2025 to 14/12/2025


Entry Fee: $580


About This Event
Full name: 2025 8th International Conference on Big Data and Machine Learning (BDML 2025)--ESCI
Abbreviation: BDML 2025
Website: http://www.bdml.org/
Date: December 12-14, 2025
Location: Kanazawa, Japan

Call for paper
 1) Big Data
 -Big Data Techniques, models and algorithms
 -Big Data Infrastructure and platform
 -Big Data Search and Mining
 -Big Data Security, Privacy and Trust
 -Big Data Applications, Bioinformatics, Multimedia etc
 - 5G and Networks for Big Data
 -Cloud and grid computing for Big Data
 -Machine Learning and AI for Big Data
 -Big Data Analytics and Social Media

 2) Machine learning
 -Machine Learning Applications
 -Learning in knowledge-intensive systems
 -Learning Methods and analysis
 -Learning Problems
 -Deep Learning
 -Computer Vision
 -Data Mining

More information, please go to: http://www.bdml.org/cfp.html

Publication
Submissions will be reviewed by the conference committees and journal editorial board, and accepted papers will be published in Journal of Advances in Information Technology (JAIT) after registration and presentation, which will be indexed by ESCI (Web of Science), Scopus, CNKI, EBSCO, etc. or International Journal of Machine Learning (IJML) after registration and presentation, which will be indexed by Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI, etc.

Submission Methods
1. Full paper (publication and presentation)
2. Abstract (presentation only)

Please upload full paper or abstract to Global Submission System. https://www.zmeeting.org/submission/bdml2025
More detail about submission, please visit at http://www.bdml.org/sub.html
                       
Conference Schedule
Friday, December 12, 2025: Pre-conference Registration; Online Pre-test
Saturday, December 13, 2025: Opening Remarks & Keynote Speeches & Authors' Presentations in Parallel Sessions
Sunday, December 14, 2025: Online Session & Academic Visit
 
Contacts:
Ms. Camellia Zheng
Tel: +86 180000585301 
(Working Hours: Monday-Friday | 10:00am-12:00pm; 13:30pm-17:00pm) 

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