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Basic Information

2022 5th International Conference on Big Data and Machine Learning(BDML 2022)

Website: http://www.bdml.org/


Xiamen, China

Conference Date

Sep 23 - Sep 25, 2022

Submission Deadline

Aug 18, 2022


Subjects: Computer Science and Technologies


Indexing: EI Compendex,Scopus

Short Description

★Full name: 2022 5th International Conference on Big Data and Machine Learning(BDML 2022) 

★Abbreviation: BDML 2022
★Website: http://www.bdml.org/
★Date: September 23-25, 2022
★Location: Xiamen, China
★Supported by: Huaqiao University, Wuhan Institute of Technology
★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
 -Big Data Tools and systems
 -Big Data Mining
 -Big Data Management
 2)Machine learning
 -Machine Learning Applications
 -Learning in knowledge-intensive systems
 -Learning Methods and analysis
 -Learning Problems
 -Deep Learning
 -Computer Vision
 -Bayesian Network 
More information, please go to: http://www.bdml.org/cfp.html
★ Publication ★ 
All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. All accepted and presented papers will be published in International Conference Proceedings Series, will be submitted and reviewed by Ei Compendex and Scopus.  
★Submission Methods★
1. Full paper (publication and presentation)
2. Abstract (presentation only)
Please upload full paper or abstract to I-Conference Global Submission System. http://confsys.iconf.org/submission/bdml2022
More detail about submission, please visit at http://www.bdml.org/sub.html
Ms. Echo Yang
E-mail:  bdml@bmail.org
Tel: +86 18081079313 
Wechat: +86 18081079313 
(Working Hours: Monday-Friday | 10:00am-12:00pm; 13:30pm-17:00pm) 


E-mail: bdml@bmail.org

Tel: +86 18081079313

Rank: ★★★★


Online Proceedings:

Indexing Proof: View

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