Science is to test crazy ideas, Engineering is to put these ideas into Business: The Holzinger group is doing theoretical, algorithmical, and experimental studies to try to understand intelligence to discover knowledge in data.
- Today the problem are heterogeneous, probabilistic, high-dimensional and complex data sets. The challenge is to learn from such data to discover knowledge, and to help to make decisions under uncertainty.
- The Holzinger Group works on a synergistic combination of methods from two areas, offering ideal conditions to unravel problems with complex data sets: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning.
- This needs an international concerted effort without boundaries (see > Expert network), and a comittment to train the next generation of data scientists (interested students please proceed to the > MSc/PhD seminar)
Research Field: Data Science; Technical Area: Machine Learning; Application Area: Health Informatics