Thomas Seidl
Thomas Seidl
Professor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), Germany
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TitelGeciteerd doorJaar
Moa: Massive online analysis
A Bifet, G Holmes, R Kirkby, B Pfahringer
Journal of Machine Learning Research 11 (May), 1601-1604, 2010
3D shape histograms for similarity search and classification in spatial databases
M Ankerst, G Kastenmüller, HP Kriegel, T Seidl
International Symposium on Spatial Databases, 207-226, 1999
Optimal multi-step k-nearest neighbor search
T Seidl, HP Kriegel
ACM Sigmod Record 27 (2), 154-165, 1998
Evaluating clustering in subspace projections of high dimensional data
E Müller, S Günnemann, I Assent, T Seidl
Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009
The ClusTree: indexing micro-clusters for anytime stream mining
P Kranen, I Assent, C Baldauf, T Seidl
Knowledge and information systems 29 (2), 249-272, 2011
Efficient user-adaptable similarity search in large multimedia databases
T Seidl, HP Kriegel
VLDB 97, 506-515, 1997
Fast nearest neighbor search in high-dimensional space
S Berchtold, B Ertl, DA Keim, HP Kriegel, T Seidl
Proceedings 14th International Conference on Data Engineering, 209-218, 1998
Nearest neighbor classification in 3D protein databases.
M Ankerst, G Kastenmüller, HP Kriegel, T Seidl
ISMB 99, 34-43, 1999
Managing intervals efficiently in object-relational databases
HP Kriegel, M Pötke, T Seidl
VLDB 20 (0), 0, 2000
DUSC: Dimensionality unbiased subspace clustering
I Assent, R Krieger, E Müller, T Seidl
seventh IEEE international conference on data mining (ICDM 2007), 409-414, 2007
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
MJ Zaki, M Peters, I Assent, T Seidl
Data & Knowledge Engineering 60 (1), 51-70, 2007
Signature quadratic form distance
C Beecks, MS Uysal, T Seidl
Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010
Statistical selection of relevant subspace projections for outlier ranking
E Müller, M Schiffer, T Seidl
2011 IEEE 27th international conference on data engineering, 434-445, 2011
On using class-labels in evaluation of clusterings
I Färber, S Günnemann, HP Kriegel, P Kröger, E Müller, E Schubert, ...
MultiClust: 1st international workshop on discovering, summarizing and using …, 2010
Subspace clustering meets dense subgraph mining: A synthesis of two paradigms
S Gunnemann, I Farber, B Boden, T Seidl
2010 IEEE International Conference on Data Mining, 845-850, 2010
INSCY: Indexing subspace clusters with in-process-removal of redundancy
I Assent, R Krieger, E Müller, T Seidl
2008 Eighth IEEE International Conference on Data Mining, 719-724, 2008
Efficient similarity search for hierarchical data in large databases
K Kailing, HP Kriegel, S Schönauer, T Seidl
International Conference on Extending Database Technology, 676-693, 2004
Supporting data mining of large databases by visual feedback queries
DA Keim, HP Kriegel
Mining coherent subgraphs in multi-layer graphs with edge labels
B Boden, S Günnemann, H Hoffmann, T Seidl
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Indexing the solution space: A new technique for nearest neighbor search in high-dimensional space
S Berchtold, DA Keim, HP Kriegel, T Seidl
IEEE Transactions on Knowledge & Data Engineering, 45-57, 2000
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