Florian is a computer scientist and postdoctoral researcher currently working the Data Science team of GESIS – the Leibniz Institute for the Social Sciences in Cologne, Germany. Additionally, he is a lecturer at the University of Koblenz-Landau. His research focus is on Knowledge Discovery and Data Mining. In particular, he aims at integrating fundamental research in practical tools and applications.
Florian received his PhD from the University of Wuerzburg in 2014. His dissertation “Novel Techniques for Efficient and Effective Subgroup Discovery” was supervised by Prof. F. Puppe (Artificial Intelligence and Applied Computer Science).
Main Research Interests include:
- Pattern Mining (especially Subgroup Discovery and Exceptional Model Mining)
- Mining the Social Web
- Interactive Knowledge Discovery
- Interpretable Models
- Sequential Data
- Efficient analysis of big data
- Data Mining Tools
- Best PhD in Computer Science at the University of Würzburg (2014)
- Dissertation Award of the “Unterfränkischen Gedenkjahrstiftung für Wissenschaft”
- Best paper on knowledge discovery at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013):
Lemmerich, F.; Becker, M. & Puppe, F.: “Difference-Based Estimates for Generalization-Aware Subgroup Discovery.”
- Dissertation award of the German Society for Computer Science (nominee)