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Marianne Müller, Dipl.-Inf.

Marianne Müller, Dipl.-Inf.








Publications:

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.

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.

Müller, M, Rosales, R, Steck, H, Krishnan, S, Rao, B, and Kramer, S (2009).
Data-Efficient Information-Theoretic Test Selection
In: Proceedings of the 12th Conference on Artificial Intelligence in Medicine, ed. by Carlo Combi, Yuval Shahar, Ameen Abu-Hanna, vol. 5651, pp. 410-415, Springer. Lecture Notes in Computer Science.

Müller, M, Rosales, R, Steck, H, Krishnan, S, Rao, B, and Kramer, S (2009).
Subgroup Discovery for Test Selection: A Novel Approach and its Application to Breast Cancer Diagnosis
In: Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, ed. by Niall M. Adams, Celine Robardet, Arno Siebes, Jean-François Boulicaut, vol. 5772, pp. 119-130, Springer. Lecture Notes in Computer Science.

Müller, M, Rosales, R, Steck, H, Krishnan, S, Rao, B, and Kramer, S (2009).
Data-Efficient Information-Theoretic Test Selection
TU München, Technical Report TUM-I0910.

Hapfelmeier, A, Schmidt, J, Müller, M, Pernetzky, R, Drzezga, A, Kurz, A, and Kramer, S (2008).
Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research
In: Proceedings of the Eighth IEEE International Conference on Data Mining (ICDM-2008), pp. 213-222.

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