Research Interests
My research interests are broadly knowledge discovery in databases and machine learning. More particular interests are currently ensemble techniques for unsupervised learning (clustering, outlier detection), and applications and problems in high dimensional data. Development of new models is challenging in various aspects. A major problem (and a topic I am especially interested in) is however the evaluation of unsupervised methods and the interpretation and reliability of their results, in the development of methods as well as in application scenarios. At large, this is related to the question of how to do data mining research in a scientifically well-founded way.