Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
Their main focus is on exploratory data analysis, often in the form of discovering novel and unexpected patterns that may give useful insights. They aim for algorithms that are accurate, provide interpretable results, and can be guided by the analyst. Their research builds on the state of the art in information theoretic data mining, statistical pattern mining, and interactive data exploration and analytics. More broadly speaking, their research can be situated in the fields of data mining, machine learning, data science, and artificial intelligence (AI).
More information about the Explanatory Data Analysis group