Difference between revisions of "DSAA 2020"
Jump to navigation
Jump to search
(modified through wikirestore by orapi) |
(modified through wikirestore by orapi) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 9: | Line 9: | ||
|has program chair=Mark Zhang, Vincent S. Tseng | |has program chair=Mark Zhang, Vincent S. Tseng | ||
|Acronym=DSAA 2020 | |Acronym=DSAA 2020 | ||
| − | |End date=2020 | + | |End date=2020-10-09 |
|Series=DSAA | |Series=DSAA | ||
|Type =Conference | |Type =Conference | ||
| Line 15: | Line 15: | ||
|State=US/OH | |State=US/OH | ||
|City =US/OH/Sidney | |City =US/OH/Sidney | ||
| + | |Year =2020 | ||
|Homepage=http://dsaa2020.dsaa.co/ | |Homepage=http://dsaa2020.dsaa.co/ | ||
| − | |Start date=2020 | + | |Start date=2020-10-06 |
|Title=7th IEEE International Conference on Data Science and Advanced Analytics | |Title=7th IEEE International Conference on Data Science and Advanced Analytics | ||
}} | }} | ||
Latest revision as of 04:16, 6 December 2021
Event Rating
| median | worst |
|---|---|
|
|
List of all ratings can be found at DSAA 2020/rating
| 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: | US/OH/Sidney, US/OH, US |
| 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| colspan="2" style="padding-top: 2px; " | | |
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.