ADMA 2020 : The 16th International Conference on Advanced Data Mining and Applications

posted by organizer: airballda1 || 4397 views || tracked by 8 users: [display]

ADMA 2020 : The 16th International Conference on Advanced Data Mining and Applications

Conference Series : Advanced Data Mining and Applications

Link: https://adma2020.nuit.edu.cn/call-for-papers/index.htm

When	Dec 12, 2020 - Dec 15, 2020
Where	Foshan, China
Submission Deadline	Jul 16, 2020
Notification Due	Jul 27, 2020
Final Version Due	Aug 10, 2020

Call For Papers

The 16th International Conference on Advanced Data Mining and Applications On 12-15 November 2020 in Foshan, China.
To request an invitation letter for visa application regarding ADMA 2020, please contact us via Email adma2020@nuit.edu.cn, or call +86 0757 86684307. Please include Applicant's Full Name, working University/Institute, email, telephone number, and paper ID (if applicable). Should you need any further assistance, please feel free to contact us through Email adma2020@nuit.edu.cn, or call +86 0757 8668 4307.

Related Resources

AMLDS 2025 2025 International Conference on Advanced Machine Learning and Data Science

IEEE-Ei/Scopus-SGGEA 2024 2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex

AASDS 2024 Special Issue on Applications and Analysis of Statistics and Data Science

DSIT 2024 7th International Conference on Data Science and Information Technology

DMBDA 2024 2024 7th International Conference on Data Mining and Big Data Analytics(DMBDA 2024)

ACDSA 2025 2nd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications

Ei/Scopus- DMCSE 2024 2024 International Conference on Data Mining, Computing and Software Engineering (DMCSE 2024)

BPOD 2024 The Seventh IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications

Complex Networks 2024 13 th International Conference on Complex Networks & Their Applications

DMNNDL 2024 2024 2nd International Conference on Data Mining, Neural Networks and Deep Learning