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|Title=6th IEEE International Conference on Data Science and Advanced Analytics | |Title=6th IEEE International Conference on Data Science and Advanced Analytics | ||
|Type=Conference | |Type=Conference | ||
| − | | | + | |Official Website=http://dsaa2019.dsaa.co/ |
|Twitter account=@IEEEDSAA | |Twitter account=@IEEEDSAA | ||
|City=Washington D.C. | |City=Washington D.C. | ||
| Line 10: | Line 10: | ||
|has program chair=George Karypis, Jeffrey Xu Yu, Jennifer Hill, Francesco Bonchi, Roger Hoerl | |has program chair=George Karypis, Jeffrey Xu Yu, Jennifer Hill, Francesco Bonchi, Roger Hoerl | ||
|has tutorial chair=Grace Hui Yang | |has tutorial chair=Grace Hui Yang | ||
| − | |||
|has Proceedings Link=https://ieeexplore.ieee.org/xpl/conhome/8961324/proceeding | |has Proceedings Link=https://ieeexplore.ieee.org/xpl/conhome/8961324/proceeding | ||
|pageCreator=User:Curator 27 | |pageCreator=User:Curator 27 | ||
| Line 23: | Line 22: | ||
}} | }} | ||
{{Event Deadline}} | {{Event Deadline}} | ||
| + | {{Event Metric | ||
| + | |Number Of Accepted Papers=61 | ||
| + | }} | ||
{{S Event}} | {{S Event}} | ||
Tentative Program Highlights: | Tentative Program Highlights: | ||
Latest revision as of 13:07, 19 October 2022
Deadlines
Metrics
Accepted Papers
61
Venue
Washington D.C., United States of America
Warning: Venue is missing. The map might not show the exact location.
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.
