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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, Buchwald, F, Hardy, B, and Kramer, S (2010).
OpenTox: A Distributed REST Approach to Predictive Toxicology
In: Proceedings of the 3rd Workshop on Third-Generation Data Mining: Towards Service-Oriented Knowledge Discovery (SoKD’10) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2010, ed. by Melanie Hilario, Nada Lavrač, Vid Podpečan, Joost N. Kok, pp. 61-62.

Hardy, B, Douglas, N, Helma, C, Rautenberg, M, Jeliazkova, N, Jeliazkov, V, Nikolova, I, Benigni, R, Tcheremenskaia, O, Kramer, S, Girschick, T, Buchwald, F, Wicker, J, Karwath, A, Gütlein, M, Maunz, A, Sarimveis, H, Melagraki, G, Afantitis, A, Sopasakis, P, Gallagher, D, Poroikov, V, Filimonov, D, Zakharov, A, Langunin, A, Gloriozova, T, Novikov, S, Skvortsova, N, Druzhilovsky, D, Chawla, S, Gosh, I, Ray, S, Patel, H, and Escher, S (2010).
Collaborative Development of Predictive Toxicology Applications
Journal of Cheminformatics, 2(7).

Hopf, T and Kramer, S (2010).
Mining Class-Correlated Patterns for Sequence Labeling
In: Proceedings of the 13th International Conference on Discovery Science, Springer.

Maunz, A, Helma, C, Cramer, T, and Kramer, S (2010).
Latent Structure Pattern Mining
In: Balcazar, Jose; Bonchi,Francesco; Gionis, Aristides; Sebag, Michele: ECML/PKDD 2010: Machine Learning and Knowledge Discovery in Databases, vol. 6322, pp. 353-368, Berlin / Heidelberg, Springer.

Müller, M and Kramer, S (2010).
Integer Linear Programming Models for Constrained Clustering
In: Proceedings of the 13th International Discovery Science DS 2010, ed. by Bernhard Pfahringer, Geoffrey Holmes and Achim Hoffman, pp. 159-173, Springer.

Rückert, U, Girschick, T, Buchwald, F, and Kramer, S (2010).
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships
In: Proceedings of the 13th International Conference on Discovery Science, ed. by B. Pfahringer, G. Holmes, A. Hoffman, vol. 6332, pp. 341-355, Springer. LNCS/LNAI.

Schmidt, J, Hapfelmeier, A, Müller, M, Pernetzky, R, Drzezga, A, Kurz, A, and Kramer, S (2010).
Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research
Journal of Knowledge and Information Systems (KAIS), 24:149-170.

Seeland, M, Girschick, T, Buchwald, F, and Kramer, S (2010).
Online Structural Graph Clustering using Frequent Subgraph Mining
In: Proceedings of the European Conference of Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ed. by J.L. Balcazar, F. Bonchi, A.Gionis, M.Sebag, vol. 3, pp. 213-228.

Smialowski, P, Frishman, D, and Kramer, S (2010).
Pitfalls of Supervised Feature Selection
Bioinformatics, in press.

Wicker, J and Kramer, S (2010).
An Extensive Multi Label Analysis of the ToxCast Data Set
In: 18th European Symposium on Quantitative Structure-Activity Relationships.


Selected Talks and Tutorials: