The research group Data Mining and Machine Learning investigates novel approaches to exploratory data analysis, unsupervised, semi-supervised and supervised learning. We focus on methods for various data types including texts, graphs, high-dimensional feature vectors and other complex structures. We consider different tasks, e.g., representation learning, embedding, clustering, causality detection, classification and reinforcement learning.

The research group Data Mining and Machine Learning consists of four work groups:

  • Univ.-Prof. Dr. Claudia Plant: Data Mining
  • Univ.-Prof. Dr. Benjamin Roth: Natural Language Processing
  • Ass.-Prof. Dr. Nils Kriege: Machine Learning with Graphs
  • Ass.-Prof. Dr. Sebastian Tschiatschek: Probabilistic and Interactive Machine Learning

Our methods are inspired by challenges arising from different application areas, e.g. medicine, neuroscience, pharmacoinformatics, renewable energies and social sciences.

Team of research group DM

Publications of research group DM


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Wir freuen uns Benjamin Roth an unserer Fakultät willkommen zu heißen. Die neugeschaffene Professur "Digitale Textwissenschaften" ist an der Fakultät für Informatik und der...

On 1.5.2020, Dr. Nils Morten Kriege joined our faculty on a tenure track professor-position with his interdisciplinary Data Science project "Algorithmic Data Science for...

Two papers accepted at ECML-PKDD 2020

Two papers have been accepted at ECML-PKDD 2020. The acceptance rate was 19%.


Paper accepted at KDD 2020

We are happy to announce that our paper "Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning" has been accepted for presentation at...

Job offer at Data Mining

We are hiring. We are searching for a PhD student with strong interest in data mining.

Prof. Claudia Plant im uni:view Portrait

Die Data-Mining Expertin Claudia Plant wurde im Vorfeld zu ihrer Antrittsvorlesung (Thema: "Auf der Suche nach Wissen im Datenberg") vorgestellt.

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