The Data Mining Lab is dedicated to research in extracting actionable knowledge from data through machine learning and data science.
At a fundamental level, we design novel algorithms to address specific issues, such as metalearning for AutoML, learning from highly-structured data, quantifying and reasoning about social capital, using social networks to derive more accurate profiles of individuals, and finding local communities in social media.
At the application level, we seek to use data mining to answer challenging questions in a variety of fields. For example, we have formed the Computational Health Science interdisciplinary research collaborative, whose mission is to better understand how technology can affect human interactions and enhance supporting environments by conducting innovative research that will inform future practice directed at changing health behavior. We are particularly interested in the role various social media play in health surveillance, communication, and intervention, and how social media data can be harnessed to address these issues more effectively.