2020 3rd International Conference on Big Data and Machine Learning (BDML 2020) on November 13-15, 2020 in Chengdu, China
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.bdml.org/
- Program URL: http://www.bdml.org/program.html
- Contact URL: http://www.bdml.org/contact.html
- Contact E-mail: [email protected]
- Location: Chengdu, China
- Date: November 13-15, 2020
- Final Submission: October 10, 2020
- Organization: International Academy of Computing Technology
- Conference Tags: artificial intelligence machine learning big data big data analysis cognitive computing artificial neural networks scopus
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:
Full Paper(publication and oral presentation)
Paper Template: http://www.bdml.org/paper_template.doc
Abstract(oral presentation only)
Electronic Submission System (.pdf)
http://confsys.iconf.org/submission/bdml2020
Agenda Overview:
Friday, Nov. 13, 2020: Registration & Conference Materials Collection
Saturday, Nov.14, 2020: Keynote&Invited Speechs and Speech Sessions
Sunday, Nov. 15, 2020: Academic visiting
Contacts:
Ms. Gretchen Liu
Email: [email protected]
86-18081079313
Call for Paper:
Big Data Analytics
Data Science Models and Approaches
Algorithms for Big Data
Big Data Search and Information Retrieval Techniques
Data Mining and Knowledge Discovery Approaches
Machine Learning Techniques for Big Data
Big Data Acquisition, Integration, Cleaning, and Best Practices
Big Data and Deep Learning
Scalable Computing Models, Theories, and Algorithms
In-Memory Systems and Platforms for Big Data Analytics
Big Data and High Performance Computing
Cyber-Infrastructure for Big Data
Name: International Academy of Computing Technology
Website: http://www.iact.net/
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