Difference between revisions of "DSAA 2019"
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 6: | Line 6: | ||
|has Proceedings Link=https://ieeexplore.ieee.org/xpl/conhome/8961324/proceeding | |has Proceedings Link=https://ieeexplore.ieee.org/xpl/conhome/8961324/proceeding | ||
|Acronym=DSAA 2019 | |Acronym=DSAA 2019 | ||
| − | |End date=2019 | + | |End date=2019-10-08 |
|Series =DSAA | |Series =DSAA | ||
|Type =Conference | |Type =Conference | ||
| Line 12: | Line 12: | ||
|State =US/DC | |State =US/DC | ||
|City =US/DC/Washington, D.C. | |City =US/DC/Washington, D.C. | ||
| + | |Year =2019 | ||
|Homepage=http://dsaa2019.dsaa.co/ | |Homepage=http://dsaa2019.dsaa.co/ | ||
| − | |Start date=2019 | + | |Start date=2019-10-05 |
|Title =6th IEEE International Conference on Data Science and Advanced Analytics | |Title =6th IEEE International Conference on Data Science and Advanced Analytics | ||
| − | |Accepted papers=61}} | + | |Accepted papers=61 |
| + | }} | ||
Tentative Program Highlights: | Tentative Program Highlights: | ||
Latest revision as of 03:46, 6 December 2021
Event Rating
| median | worst |
|---|---|
|
|
List of all ratings can be found at DSAA 2019/rating
| DSAA 2019 | |
|---|---|
6th IEEE International Conference on Data Science and Advanced Analytics
| |
| Event in series | DSAA |
| Dates | 2019-10-05 (iCal) - 2019-10-08 |
| Homepage: | http://dsaa2019.dsaa.co/ |
| Twitter account: | @IEEEDSAA |
| Location | |
| Location: | US/DC/Washington, D.C., US/DC, US |
| Committees | |
| General chairs: | Philip S. Yu, Richard De Veaux |
| PC chairs: | George Karypis, Jeffrey Xu Yu, Jennifer Hill, Francesco Bonchi, Roger Hoerl |
| Seminars Chair: | Grace Hui Yang |
| Table of Contents | |
| Tweets by @IEEEDSAA| colspan="2" style="padding-top: 2px; " | | |
Tentative Program Highlights:
- 3 high profile keynote speakers that bridge statistics and computer science with other fields
- A Data Science for Social Impact day
- Research track and Applications track
- Late-breaking Poster session with lightning talks highlighting recent research advances
- Special sessions with papers published in the main conference IEEE proceedings for EI indexing through INSPEC by IEEE.
- Special sessions on statistics/mathematics for data science and advanced analytics, industry data science, and emerging areas, recent trends and controversies of data science and advanced analytics.
- Best papers selected for journal extension.
- A strong interdisciplinary research program spanning the areas of data science, machine learning, data mining, and statistics, etc.
- Strong cross-domain culture and industry & government engagement.
- Industry and research exhibition opportunities.
- Both traditional and hands-on tutorials.
- Double-blind, and 10 pages in IEEE 2-column format.
- The conference is jointly sponsored and supported by IEEE CIS, ACM SIGKDD and ASA.