Event:DSAA 2020

The document "DSAA 2020" was published on "2022-10-19T13:08:11" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:DSAA 2020.

The document "DSAA 2020" describes an event in the sense of a conference.

The document "DSAA 2020" contains information about the event "DSAA 2020" with start date "2020/10/06" and end date "2020/10/09".

The event "DSAA 2020" is part of the event series identified by [[Event Series:DSAA]]

Deadlines

2020-07-26

2020-06-01

2020-08-09

2020-06-01

1 Jun 2020

Paper

1 Jun 2020

Submission

26 Jul 2020

Notification

9 Aug 2020

Camera-Ready

Venue

Sidney, New South Wales, Australia

Loading map...

{"minzoom":false,"maxzoom":false,"mappingservice":"leaflet","width":"auto","height":"350px","centre":false,"title":"","label":"","icon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"zoom":false,"defzoom":14,"layers":["OpenStreetMap"],"image layers":[],"overlays":[],"resizable":false,"fullscreen":false,"scrollwheelzoom":true,"cluster":false,"clustermaxzoom":20,"clusterzoomonclick":true,"clustermaxradius":80,"clusterspiderfy":true,"geojson":"","clicktarget":"","imageLayers":[],"locations":[{"text":"","title":"","link":"","lat":-33.8698439,"lon":151.2082848,"icon":""}],"imageoverlays":null}

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.