Explanatory Data Analysis
Useful insights from data
Whether data analysis is exploratory or predictive, it is more useful if the methods are explainable and the results interpretable: explanatory data analysis. Our main focus is on data exploration, as people are often interested in discovering novel and unexpected patterns, but we also investigate prediction that is both accurate and transparent. More technically, our research builds on the state of the art in information theoretic data mining, statistical pattern mining, and interactive data exploration and analytics.
Apart from fundamental data mining research, we collaborate on multidisciplinary data science projects to demonstrate the impact of our research on society. Examples include the Leiden Data Science Research Programme on scientific data, and the SAPPAO project on airline data.
News and updates
20 September 2018
Sepinoud Azimi is visiting the EDA group for one and a half month. Welcome!
Start of '18-'19
3 September 2018
Welcome to all new students! The second edition of our Master's course on Information Theoretic Data Mining will start next Thursday.
26 March 2018
Clément Gautrais is visiting the EDA group for one week. Welcome!
13 February 2018
Daniela and Matthijs visited the group of Carolien Rieffe, at the Institute of Psychology, to discuss new opportunities to analyse sensor data collected on the playground.