Conference Information
DMKD 2024: International Conference on Data Mining and Knowledge Discovery
https://www.icdmkd.org/Submission Date: |
2024-04-08 |
Notification Date: |
2024-05-08 |
Conference Date: |
2024-06-07 |
Location: |
Online |
Viewed: 22794 Tracked: 30 Attend: 1
Call For Papers
2024 International Conference on Data Mining and Knowledge Discovery (DMKD 2024) will be held virtually on 7-9 June, 2024. We are living in a world that is more and more a digital world. We feel that, on these pandemic days. Most of the economy, education, social interactions, etc. is digital. As the pandemic crisis evolve, we can still develop social interactions, maintain schools and universities work, continuing trading, buying, and selling using e-commerce platforms. The importance of computers, networks, and communications never has been so relevant as on those days! DMKD will be an ideal platform for scholars, researchers and professionals to exchange insights and discuss the development of Data Mining and Knowledge Discovery. It will be a perfect gathering to learn about new perspectives, technologies and trends which might pushes the boundaries of the technology and eventually creates a broader future for applications. Welcome the professionals, experts, managements and students from the universities, research institutions, and companies to attend the conference!
Last updated by Dou Sun in 2024-03-15
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
International Journal of Data Mining & Knowledge Management Process | AIRCC | 2231-007X | ||
b | ACM Transactions on Knowledge Discovery from Data | ACM | 1556-4681 | |
b | Data & Knowledge Engineering | 1.992 | Elsevier | 0169-023X |
c | International Journal of Software Engineering and Knowledge Engineering | World Scientific | 0218-1940 | |
Materials Discovery | Elsevier | 2352-9245 | ||
Journal of Digital Learning in Teacher Education | Taylor & Francis | 2153-2974 | ||
c | Journal of Experimental and Theoretical Artificial Intelligence | 1.384 | Taylor & Francis | 0952-813X |
a | IEEE Transactions on Knowledge and Data Engineering | 3.857 | IEEE | 1041-4347 |
BioData Mining | 2.522 | Springer | 1756-0381 | |
c | Machine Vision and Applications | 2.012 | Springer | 0932-8092 |
Full Name | Impact Factor | Publisher |
---|---|---|
International Journal of Data Mining & Knowledge Management Process | AIRCC | |
ACM Transactions on Knowledge Discovery from Data | ACM | |
Data & Knowledge Engineering | 1.992 | Elsevier |
International Journal of Software Engineering and Knowledge Engineering | World Scientific | |
Materials Discovery | Elsevier | |
Journal of Digital Learning in Teacher Education | Taylor & Francis | |
Journal of Experimental and Theoretical Artificial Intelligence | 1.384 | Taylor & Francis |
IEEE Transactions on Knowledge and Data Engineering | 3.857 | IEEE |
BioData Mining | 2.522 | Springer |
Machine Vision and Applications | 2.012 | Springer |
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