For the first time in its 21-year history, the Knowledge Discovery and Large-scale Data Analytics Conference(SIGKDD) will be held virtually from Aug. 23 to 27. Despite its new socially-distanced format, SIGKDD will continue presenting the world’s premier data mining research, which will include highlights provided by Georgia Tech faculty and students.
In total, Georgia Tech faculty are set to present five papers next week during the conference’s technical proceedings and one paper as part of the workshop, DeepSpatial. These presentations offer proposals for a range of topics including online frameworks for healthcare applications and improving the prediction performance of named entity recognition models.
As the pandemic lingers on and another election year looms, disease and misinformation on the web are two subjects that are top of everyone’s mind. In a timely fashion, CSE Assistant Professor Srijan Kumar and CSE Associate Professor B. Aditya Prakash are providing cutting-edge research that takes on these key issues.
Kumar is helping lead a workshop on ensuring web content credibility in an era of misinformation and techniques such as deep fakes. Kumar will provide an invited talk as part of the workshop at 2:45 p.m. PDT on Aug. 24, to discuss emerging ideas and advances in malicious behavior detection and countering misinformation.
Prakash is orchestrating the International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. This day-long workshop aims to gather leading epidemiologists in a discussion to develop theoretical principles and transformative computational approaches to address diseases through data mining and knowledge discovery methods.
Another workshop highlight includes a keynote talk by CSE Associate Professor and Machine Learning Center at Georgia Tech Associate Director Le Song. Song is set to present the keynote at International Workshop on Deep Learning on Graphs: Methods and Applications on Aug. 24.
See below for a full listing of KDD20 workshops Georgia Tech faculty are participating in:
- The Second International Workshop on Deep Learning on Graphs: Methods and Applications
- epiDAMIK 3.0: The 3rd International workshop on Epidemiology meets Data Mining and Knowledge Discovery
- MLHat: The First International Workshop on Deployable Machine Learning for Security Defense
- DeepSpatial 2020
- Truth Discovery and Fact Checking workshop
Website and story by Kristen Perez