International Conference on Big Data and Machine Learning on December 12-14, 2025 in Kanazawa, Japan

International Conference on Big Data and Machine Learning on December 12-14, 2025 in Kanazawa, Japan

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

E-mail: [email protected]

Tel: +86 180000585301

 

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

 

Name: International Academy of Computing Technology
Website: http://www.iact.net/

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