Research and Teaching experience:
I havn't had time to actually write this section yet. I'm only listing stuff I consider “scientific research” here.
There is much more in the Projects section.
Current:
Tutorials: Databases Tutorial
I. Färber, S. Günnemann, H.-P. Kriegel, P. Kröger, E. Müller, E. Schubert, T. Seidl, and A. Zimek:
“On Using Class-Labels in Evaluation of Clusterings”
- in MultiClust: 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings Held in Conjunction with KDD 2010, Washington, DC, 2010.
“On Using Class-Labels in Evaluation of Clusterings”
- in MultiClust: 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings Held in Conjunction with KDD 2010, Washington, DC, 2010.
Lecture tutorials: Spatial, Temporal and Multimedia Databases
T. Bernecker, T. Emrich, F. Graf, H.-P. Kriegel, P. Kröger, M. Renz, E. Schubert, and A. Zimek:
“Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces.”
- in Proc. 21th International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany, 2010.
“Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces.”
- in Proc. 21th International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany, 2010.
T. Bernecker, T. Emrich, F. Graf, H.-P. Kriegel, P. Kröger, M. Renz, E. Schubert, and A. Zimek:
“Subspace Similarity Search Using the Ideas of Ranking and Top-k Retrieval.”
- in Proc. 26th International Conference on Data Engineering (ICDE) Workshop on Ranking in Databases (DBRank), Long Beach, CA, 2010.
“Subspace Similarity Search Using the Ideas of Ranking and Top-k Retrieval.”
- in Proc. 26th International Conference on Data Engineering (ICDE) Workshop on Ranking in Databases (DBRank), Long Beach, CA, 2010.
M. E. Houle, H.-P. Kriegel, P. Kröger, E. Schubert, and A. Zimek:
“Can Shared-Neighbor-Distances Defeat the "Curse of Dimensionality"?”
- in Proc. 21th International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany, 2010.
“Can Shared-Neighbor-Distances Defeat the "Curse of Dimensionality"?”
- in Proc. 21th International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany, 2010.
E. Achtert, H.-P. Kriegel, L. Reichert, E. Schubert, R. Wojdanowski, and A. Zimek:
“Visual Evaluation of Outlier Detection Models.”
- in Proc. 15th International Conference on Database Systems for Advanced Applications (DASFAA), Tsukuba, Japan, 2010.
“Visual Evaluation of Outlier Detection Models.”
- in Proc. 15th International Conference on Database Systems for Advanced Applications (DASFAA), Tsukuba, Japan, 2010.
[Additional related publications in review and preparation]
2009:
Lecture tutorials: Knowledge Discovery in Databases II
H.-P. Kriegel, P. Kröger, E. Schubert, and A. Zimek:
“LoOP: Local Outlier Probabilities.”
- in Proc. 18th International Conference on Information and Knowledge Management (CIKM), Hong Kong, China, 2009.
“LoOP: Local Outlier Probabilities.”
- in Proc. 18th International Conference on Information and Knowledge Management (CIKM), Hong Kong, China, 2009.
E. Achtert, T. Bernecker, H.-P. Kriegel, E. Schubert, and A. Zimek:
“ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series.”
- in Proc. 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark, 2009.
“ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series.”
- in Proc. 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark, 2009.
Lecture tutorials: Knowledge Discovery in Databases I
H.-P. Kriegel, P. Kröger, E. Schubert, and A. Zimek:
“Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.”
- in Proc. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, 2009.
“Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.”
- in Proc. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, 2009.
2008:
Erich Schubert: “Statistical Approaches for Robustifying Correlation Clustering Algorithms”, Diploma thesis, July 2008, top mark (1.0)
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
“A General Framework for Increasing the Robustness of PCA-based Correlation Clustering Algorithms”
- in Proc. 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), Hong Kong, China, 2008.
“A General Framework for Increasing the Robustness of PCA-based Correlation Clustering Algorithms”
- in Proc. 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), Hong Kong, China, 2008.
2006 / 2007
Calendaring in a Semantic Wiki context, 2006/2007
Google Summer of Code 2006 - Mentor for the Debian GNU/Linux project, artificial intelligence for automatic classification of software packages, 2006
2005
Programming Course [de] taught at the CdE summer academy for talented students, JGW e.V., 2005
Structure-preserving difference search for XML Documents, presented at the “Extreme Markup Languages” conference 2005 in Montréal, Canada.
Stucture-Preserving Difference Search in Semistructured Data, project thesis at the LMU Munich, 2004-2005
See also: SSDDiff project, prototype application implementing this.
2004
Interactive Medium: Art and Computers [de], Workshop taught at the CdE summer academy for talented students, JGW e.V., 2004
“Game theory, flock behaviour and virtual life”, presentation in the advanced seminar “game theory”, department of mathematics, LMU Munich, 2004
2003
BaNe, a simulator for simple bayesian networks [de]. “Statistical methods in artificial intelligence”, presentation in the advanced seminar “artificial intelligence” at the LMU Munich, 2003
2002
Algorithms [de], course taught at the CdE pentecost academy for talented students, JGW e.V., 2002
1999
School thesis on semiconductor lasers [de] with the Max-Planck-Insitute for quantum optics, Garching, 1998-1999, German only