(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
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| Line 8: | Line 8: | ||
|City=Sidney | |City=Sidney | ||
|State=New South Wales | |State=New South Wales | ||
| − | |Country= | + | |Country=Country:AU |
|Paper deadline=2020/06/01 | |Paper deadline=2020/06/01 | ||
|Notification=2020/07/26 | |Notification=2020/07/26 | ||
| Line 22: | Line 22: | ||
|Start Date=2020/10/06 | |Start Date=2020/10/06 | ||
|End Date=2020/10/09 | |End Date=2020/10/09 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
Precaution of COVID-19 | Precaution of COVID-19 | ||
Revision as of 14:00, 6 September 2022
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.
