2024 7th International Conference on Big Data and Machine Learning (BDML 2024)

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Basic Information

2024 7th International Conference on Big Data and Machine Learning (BDML 2024)

Website: http://www.bdml.org/

Place

Xiamen, China

Conference Date

Sep 20 - Sep 22, 2024

Submission Deadline

Apr 20, 2024

Venue

Subjects: Computer Science and Technologies

Sponsorship: 

Indexing: EI Compendex,Scopus

Short Description

★Full name: 2024 7th International Conference on Big Data and Machine Learning (BDML 2024)

★Abbreviation: BDML 2024
★Website: http://www.bdml.org/
★Date: September 20-22, 2024
★Location: Xiamen, China
★Co-Sponsored 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
 - 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 ★ 
All submissions will be peer reviewed by 2-3 reviewers, and all the accepted papers will be published in International Conference Proceedings, 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/bdml2024
More detail about submission, please visit at http://www.bdml.org/sub.html
  
Contacts:
Ms. Camellia Zheng
E-mail:  bdml@bmail.org
Tel: +86 18081079313 
(Working Hours: Monday-Friday | 10:00am-12:00pm; 13:30pm-17:00pm) 

Contact

E-mail: bdml@bmail.org

Tel: 

Rank: ★★★★

Indexing

Online Proceedings:

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