Research and Teaching Overview
    Our research covers data mining, machine learning, information systems, and interactive exploration for high dimensional data, complex graphs, time series, and data streams. The chair is leading and contributing to several open-source initiatives enabling repeatability and comparability for the research community. We have organized several tutorials and workshops at major data mining, database, and machine learning conferences, and edited a special issue for the Machine Learning Journal. In the past few years, we have initiated and coordinated various education programmes for “Data Science” and “Data Engineering”: One on the level of university education (M.Sc. programme), two graduate schools (PhD programmes) and multiple executive education programmes for industry.