information sciencedata mining & big data

Description
KDD is the premier Data Science conference. We invite original technical research contributions in all aspects of the data science lifecycle including but not limited to: data cleaning and preparation, data transformation, mining, inference, learning, explainability, data privacy, and dissemination of results. Technical data science contributions that advance United Nations Sustainable Development Goals (SDGs) are also encouraged. This year we are also inviting paper submissions that are at the intersection of data science and society as part of the research track.
Data Cleaning and Preparation
Data Transformation and Integration
Mining, Inference, and Learning
Explainability
Data Privacy and Ethics
Model Dissemination
Data Science and Society