Vol-2657
urn:nbn:de:0074-2657-5




KiML2020
ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact (KiML2020)


Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact
co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020)

San Diego, California, USA, August 24, 2020.


Edited by

Manas Gaur *
Alejandro Jaimes **
Fatma Ozcan ***
Srinivasan Parthasarathy ****
Sameena Shah *****
Amit Sheth *
Biplav Srivastava *

* Artificial Intelligence Institute, University of South Carolina, Columbia, South Carolina, United States
** Dataminr Inc., New York, New York, United States
*** IBM Research, Almaden, San Jose, California
**** Ohio State University, Columbus, Ohio, United States
***** JP Morgan AI Research, New York, New York, United States




Table of Contents

Papers

We offer a BibTeX file for citing papers of this workshop from LaTeX.


2020-08-24: submitted by Manas Gaur, metadata incl. bibliographic data published under Creative Commons CC0
2020-08-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|