Welcome to the Knowledge Discovery and Machine Learning research group. The group is part of the Chair of Intelligent Analysis and Information Systems (Prof. Dr. Stefan Wrobel).
Our group focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and machine learning (ML). For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include algorithms and systems that are capable of learning from experience and adapting to their environment or their users.
Given the enormous growth of collected and available data in companies, industry and science, techniques for analyzing such data are becoming ever more important. Today, data to be analyzed are no longer restricted to sensor data and classical databases, but more and more include textual documents and webpages (text mining, Web mining), spatial data, multimedia data, relational data (molecules, social networks).
Research in knowledge discovery and machine learning combines classical questions of computer science (efficient algorithms, software systems, databases) with elements from artificial intelligence and statistics up to user oriented issues (visualization, interactive mining). In our work, we strive to combine theoretical and technical advances in research with real-world applications to show that things really work.
Our group is part of the Chair of Intelligent Analysis and Information Systems (Prof. Dr. Stefan Wrobel) and thus carried by two institutions, namely the computer science department of the University of Bonn, where we are part of Informatik III, and Fraunhofer IAIS, the Fraunhofer Institute for intelligent analysis and information systems, where Prof. Wrobel is also director.
To find out about our group members, research, publications and teaching, please click on the menu items in the sidebar. If you are interested in working with us as a PhD student or postdoc, please send an email with the usual material and a brief statement of your research interest to Sabine Burch.