Vol-2656⫷ Vol-2657 ⫸Vol-2658
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 |