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|Title=7th IEEE International Conference on Data Science and Advanced Analytics | |Title=7th IEEE International Conference on Data Science and Advanced Analytics | ||
|Type=Conference | |Type=Conference | ||
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|Homepage=http://dsaa2020.dsaa.co/ | |Homepage=http://dsaa2020.dsaa.co/ | ||
|Twitter account=@IEEEDSAA | |Twitter account=@IEEEDSAA | ||
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|Region=New South Wales | |Region=New South Wales | ||
|Country=Country:AU | |Country=Country:AU | ||
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|Submitting link=https://easychair.org/conferences/?conf=dsaa2020 | |Submitting link=https://easychair.org/conferences/?conf=dsaa2020 | ||
|has general chair=Geoff Webb, Richard De Veaux, Usama Fayyad | |has general chair=Geoff Webb, Richard De Veaux, Usama Fayyad | ||
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|Event Mode=on site | |Event Mode=on site | ||
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| + | |Paper Deadline=2020/06/01 | ||
| + | |Notification Deadline=2020/07/26 | ||
| + | |Camera-Ready Deadline=2020/08/09 | ||
| + | |Submission Deadline=2020/06/01 | ||
| + | }} | ||
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Precaution of COVID-19 | Precaution of COVID-19 | ||
Due to ongoing uncertainty about future travel due to COVID-19, DSAA’2020 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions. | Due to ongoing uncertainty about future travel due to COVID-19, DSAA’2020 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions. | ||
Revision as of 19:15, 22 September 2022
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Venue
Sidney, New South Wales, Australia
Warning: Venue is missing. The map might not show the exact location.
Precaution of COVID-19 Due to ongoing uncertainty about future travel due to COVID-19, DSAA’2020 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions. About DSAA’2020
Highlights of DSAA’2020
* Strong Research and Applications tracks with reproducible and open results. * Student Poster and Industry Poster sessions with lightning results highlighting student’s research advances and industry’s best practices. * One-day Industry Day with Data Science School for business. * Special sessions on the foundations and emerging areas for data science. * Special panel on the trends and controversies of data science and analytics. * A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. * Strong cross-domain interactions among researchers and industry and government policy-makers and practitioners. * Industry and research exhibits. * Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed. * Technically supported by ACM SIGKDD and ASA.
