Difference between revisions of "DSAA 2020"

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|Submission deadline=2020/06/01
 
|Submission deadline=2020/06/01
 
|Homepage=http://dsaa2020.dsaa.co/
 
|Homepage=http://dsaa2020.dsaa.co/
 +
|Twitter account=@IEEEDSAA
 
|City=Sidney
 
|City=Sidney
 
|State=New South Wales
 
|State=New South Wales
 
|Country=Australia
 
|Country=Australia
 
|Paper deadline=2020/06/01
 
|Paper deadline=2020/06/01
 +
|Notification=2020/07/26
 +
|Camera ready=2020/08/09
 
|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

Latest revision as of 17:09, 25 May 2020

DSAA 2020
7th IEEE International Conference on Data Science and Advanced Analytics
Event in series DSAA
Dates 2020/10/06 (iCal) - 2020/10/09
Homepage: http://dsaa2020.dsaa.co/
Twitter account: @IEEEDSAA
Submitting link: https://easychair.org/conferences/?conf=dsaa2020
Location
Location: Sidney, New South Wales, Australia
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Important dates
Papers: 2020/06/01
Submissions: 2020/06/01
Notification: 2020/07/26
Camera ready due: 2020/08/09
Committees
General chairs: Geoff Webb, Richard De Veaux, Usama Fayyad
PC chairs: Mark Zhang, Vincent S. Tseng
Table of Contents
Tweets by @IEEEDSAA


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.