Thomas Seidl
Thomas Seidl
Professor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), Germany
Verified email at - Homepage
TitleCited byYear
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
A Bifet, G Holmes, B Pfahringer, P Kranen, H Kremer, T Jansen, T Seidl
JMLR Proceedings of Machine Learning Research 11 (WAPA), 44-50, 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
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
Signature quadratic form distance
C Beecks, MS Uysal, T Seidl
Proceedings of the ACM International Conference on Image and Video Retrieval …, 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
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
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
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
Supporting data mining of large databases by visual feedback queries
DA Keim, HP Kriegel
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
The system can't perform the operation now. Try again later.
Articles 1–20