Conference Details

Special Issue on Foundations of Data Science with Machine Learning Journal for Journal Track at DSAA’2022

Date :

Place : China, Shenzhen

Website :

Contact Person:dsaa

Description:

Data science is a hot topic with an extensive scope, both in terms of theory and applications. Machine Learning forms one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue will highlight the latest development of the Machine Learning foundations of data science and on the synergy of data science and machine learning. We welcome new developments in statistics, mathematics, informatics and computing-driven machine learning for data science, including foundations, algorithms and models, systems, innovative applications and other research contributions. Following the great success of the 2021 MLJ special issue with DSAA'2021, this 2022 special issue will further capture the state-of-the-art machine learning advances for data science. Accepted papers will be published in MLJ and presented at a journal track of the 2022 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2022) in Shenzhen, October 2022.

Special Issue on Foundations of Data Science with Machine Learning Journal for Journal Track at DSAA’2022 will be held in Shenzhen,China on date 2022-02-16

Deadline for abstracts/proposals : 1st March 2022

Organized By :dsaa.co

Keynote Speakers :

Conference Highlights :Strong Research and Applications tracks with reproducible and open results Student Poster and Industry Poster sessions Journal tracks with Machine Learning and J. Data Science and Analytics Industrial Day with leading and local industry practitioners Panel on the trends and controversies of data science and advanced analytics Special Session on the foundations and emerging areas of data science Strong interdisciplinary participation from analytics, machine learning, statistics,

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