Knowledge Discovery and Machine Learning

Knowledge Discovery and Machine Learning

Our group focuses on the neighboring subfields of computer science known as knowledge discovery in databases 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.

Director: Prof. Dr. rer. nat. Stefan Wrobel