View source for DSAA 2019

{{Event
|Acronym=DSAA 2019
|Title=6th IEEE International Conference on Data Science and Advanced Analytics
|Series=DSAA
|Type=Conference
|Start date=2019/10/05
|End date=2019/10/08
|Homepage=http://dsaa2019.dsaa.co/
|Twitter account=@IEEEDSAA
|City=Washington D.C.
|Country=USA
|has general chair=Philip S. Yu, Richard De Veaux
|has program chair=George Karypis, Jeffrey Xu Yu, Jennifer Hill, Francesco Bonchi, Roger Hoerl
|has tutorial chair=Grace Hui Yang
|Accepted papers=61
|has Proceedings Link=https://ieeexplore.ieee.org/xpl/conhome/8961324/proceeding
}}
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.