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Stefan Kramer, Prof. Dr.

Stefan Kramer, Prof. Dr.

Head of Information Systems

Room: 03-617
Johannes Gutenberg - Universität Mainz
Institut für Informatik
Staudingerweg 9

55128 Mainz, Germany

Office Phone: +49-6131-39-23378 or -26990
Fax number: +49-6131-39-23534



Awards:

  • Best Application Paper Runner-Up, Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001) (for: Kramer S., De Raedt L., Helma C.: Molecular Feature Mining in HIV Data)
  • Best Theory Paper, 16th International Conference on Inductive Logic Programming (ILP-2006) (for: Rückert U., Kramer S.: Margin-Based First-Order Rule Learning)
  • Best Application Paper, 8th IEEE International Conference on Data Mining (ICDM-2008) (for: Hapfelmeier A., Schmidt J., Mueller M., Drzezga A., Perneczky R., Kurz A., Kramer S.: Interpreting PET Scans by Structured
    Patient Data: A Data Mining Case Study in Dementia Research)

Activities:


Publications:

Girschick, T, Rückert, U, and Kramer, S (accepted).
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets
The Computer Journal.

Hapfelmeier, A, Schmidt, J, and Kramer, S (2013).
Incremental Linear Model Trees on Massive Datasets: Keep it Simple, Keep it Fast
In: Proceedings of the 28th Symposium On Applied Computing, accepted.

Schmidt, J, Hapfelmeier, A, Ghorbani, A, and Kramer, S (2013).
Learning Probabilistic Real-Time Automata from Multi-Attribute Event Logs
Intelligent Data Analysis Special Issue on Dynak Topics, 7(1):to appear.

Seeland, M, Kramer, S, and Pfahringer, B (2013).
Model Selection Based Product Kernel Learning for Regression on Graphs
In: Proceedings of the 28th Symposium On Applied Computing, pp. 136-143, ACM.

Böck, M, Ogishima, S, Tanaka, H, Kramer, S, and Kaderali, L (2012).
Hub-Centered Gene Network Reconstruction using Automatic Relevance Determination
PLoS ONE, 7(5):e35077.

Duchrow, T, Schröer, M, Griesbach, B, Kasperski, S, Maas genannt Bermpohl, G, Kramer, S, and Kirchner, F (2012).
Towards Electric Mobility Data Mining
In: IEEE International Electric Vehicle Conference (IEVC) 2012, pp. 1-6, IEEE.

Ganzert, S, Kramer, S, and Guttmann, J (2012).
Predicting the lung compliance of mechanically ventilated patients via statistical modeling
Physiological Measurement, 33:345-359.

Geilke, M, Frank, E, and Kramer, S (2012).
Online Estimation of Discrete Densities using Classifier Chains
Miscellaneous publication, ECML-PKDD 2012 workshop Instant Interactive Data Mining.

Gütlein, M, Karwath, A, and Kramer, S (2012).
CheS-Mapper – Chemical Space Mapping and Visualization in 3D
Journal of Cheminformatics, 4(7).

Hapfelmeier, A, Mertes, C, Schmidt, J, and Kramer, S (2012).
Towards Real-Time Machine Learning
In: ECML-PKDD 2012 Workshop: Instant Interactive Data Mining.


Selected Talks and Tutorials: