 | 2009 |
|---|
| 90 |       | Nikos Mamoulis,
Thomas Seidl,
Torben Bach Pedersen,
Kristian Torp,
Ira Assent:
Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings
Springer 2009 |
| 89 | | Christian Beecks,
Merih Seran Uysal,
Thomas Seidl:
Signature quadratic form distances for content-based similarity.
ACM Multimedia 2009: 697-700 |
| 88 |  | Ira Assent,
Stephan Günnemann,
Hardy Kremer,
Thomas Seidl:
High-Dimensional Indexing for Multimedia Features.
BTW 2009: 187-206 |
| 87 | | Christian Beecks,
Marc Wichterich,
Thomas Seidl:
Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken.
BTW 2009: 207-216 |
| 86 | | Stephan Günnemann,
Emmanuel Müller,
Ines Färber,
Thomas Seidl:
Detection of orthogonal concepts in subspaces of high dimensional data.
CIKM 2009: 1317-1326 |
| 85 | | Marc Wichterich,
Christian Beecks,
Martin Sundermeyer,
Thomas Seidl:
Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance.
CIKM 2009: 1621-1624 |
| 84 | | Philipp Kranen,
Thomas Seidl:
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams.
ECML/PKDD (1) 2009: 31 |
| 83 | | Thomas Seidl,
Ira Assent,
Philipp Kranen,
Ralph Krieger,
Jennifer Herrmann:
Indexing density models for incremental learning and anytime classification on data streams.
EDBT 2009: 311-322 |
| 82 | | Babak Ahmadi,
Marios Hadjieleftheriou,
Thomas Seidl,
Divesh Srivastava,
Suresh Venkatasubramanian:
Type-based categorization of relational attributes.
EDBT 2009: 84-95 |
| 81 | | Philipp Kranen,
Ira Assent,
Corinna Baldauf,
Thomas Seidl:
Self-Adaptive Anytime Stream Clustering.
ICDM 2009: 249-258 |
| 80 | | Emmanuel Müller,
Ira Assent,
Stephan Günnemann,
Ralph Krieger,
Thomas Seidl:
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data.
ICDM 2009: 377-386 |
| 79 | | Marwan Hassani,
Emmanuel Müller,
Thomas Seidl:
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers.
KDD Workshop on Knowledge Discovery from Sensor Data 2009: 39-48 |
| 78 | | Emmanuel Müller,
Ira Assent,
Ralph Krieger,
Stephan Günnemann,
Thomas Seidl:
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
SDM 2009: 173-184 |
| 77 | | Emmanuel Müller,
Ira Assent,
Thomas Seidl:
HSM: Heterogeneous Subspace Mining in High Dimensional Data.
SSDBM 2009: 497-516 |
| 76 | | Thomas Seidl:
Nearest Neighbor Classification.
Encyclopedia of Database Systems 2009: 1885-1890 |
| 75 | | Philipp Kranen,
Thomas Seidl:
Harnessing the strengths of anytime algorithms for constant data streams.
Data Min. Knowl. Discov. 19(2): 245-260 (2009) |
| 74 | | Emmanuel Müller,
Stephan Günnemann,
Ira Assent,
Thomas Seidl:
Evaluating Clustering in Subspace Projections of High Dimensional Data.
PVLDB 2(1): 1270-1281 (2009) |
| 73 | | Ira Assent,
Marc Wichterich,
Ralph Krieger,
Hardy Kremer,
Thomas Seidl:
Anticipatory DTW for Efficient Similarity Search in Time Series Databases.
PVLDB 2(1): 826-837 (2009) |
| 2008 |
|---|
| 72 | | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
EDSC: efficient density-based subspace clustering.
CIKM 2008: 1093-1102 |
| 71 | | Ira Assent,
Emmanuel Müller,
Ralph Krieger,
Timm Jansen,
Thomas Seidl:
Pleiades: Subspace Clustering and Evaluation.
ECML/PKDD (2) 2008: 666-671 |
| 70 | | Ira Assent,
Ralph Krieger,
Farzad Afschari,
Thomas Seidl:
The TS-tree: efficient time series search and retrieval.
EDBT 2008: 252-263 |
| 69 | | Ira Assent,
Marc Wichterich,
Tobias Meisen,
Thomas Seidl:
Efficient similarity search using the Earth Mover's Distance for large multimedia databases.
ICDE 2008: 307-316 |
| 68 | | Marc Wichterich,
Christian Beecks,
Thomas Seidl:
Ranking multimedia databases via relevance feedback with history and foresight support.
ICDE Workshops 2008: 596-599 |
| 67 | | Emmanuel Müller,
Ira Assent,
Uwe Steinhausen,
Thomas Seidl:
OutRank: ranking outliers in high dimensional data.
ICDE Workshops 2008: 600-603 |
| 66 | | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy.
ICDM 2008: 719-724 |
| 65 | | Emmanuel Müller,
Ira Assent,
Ralph Krieger,
Timm Jansen,
Thomas Seidl:
Morpheus: interactive exploration of subspace clustering.
KDD 2008: 1089-1092 |
| 64 | | Philipp Kranen,
David Kensche,
Saim Kim,
Nadine Zimmermann,
Emmanuel Müller,
Christoph Quix,
Xiang Li,
Thomas Gries,
Thomas Seidl,
Matthias Jarke,
Steffen Leonhardt:
Mobile Mining and Information Management in HealthNet Scenarios.
MDM 2008: 215-216 |
| 63 | | Ira Assent,
Ralph Krieger,
Petra Welter,
Jörg Herbers,
Thomas Seidl:
SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters.
PAKDD 2008: 40-52 |
| 62 | | Marc Wichterich,
Ira Assent,
Philipp Kranen,
Thomas Seidl:
Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction.
SIGMOD Conference 2008: 199-212 |
| 61 | | Christoph Brochhaus,
Thomas Seidl:
IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS.
SSDBM 2008: 598-604 |
| 60 | | Thomas Seidl,
Jost Enderle:
Binäre Suche.
Taschenbuch der Algorithmen 2008: 7-13 |
| 59 | | David Ruau,
Corinna Kolárik,
Heinz-Theodor Mevissen,
Emmanuel Müller,
Ira Assent,
Ralph Krieger,
Thomas Seidl,
Martin Hofmann-Apitius,
Martin Zenke:
Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation.
BMC Bioinformatics 9(S-10): (2008) |
| 58 | | Thomas Martin Deserno,
Mark Oliver Güld,
Bartosz Plodowski,
Klaus Spitzer,
Berthold B. Wein,
Henning Schubert,
Hermann Ney,
Thomas Seidl:
Extended Query Refinement for Medical Image Retrieval.
J. Digital Imaging 21(3): 280-289 (2008) |
| 57 | | Ira Assent,
Ralph Krieger,
Boris Glavic,
Thomas Seidl:
Clustering multidimensional sequences in spatial and temporal databases.
Knowl. Inf. Syst. 16(1): 29-51 (2008) |
| 2007 |
|---|
| 56 | | Alfons Kemper,
Harald Schöning,
Thomas Rose,
Matthias Jarke,
Thomas Seidl,
Christoph Quix,
Christoph Brochhaus:
Datenbanksysteme in Business, Technologie und Web (BTW 2007), 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, 7.-9. März 2007, Aachen, Germany
GI 2007 |
| 55 | | Matthias Jarke,
Thomas Seidl,
Christoph Quix,
David Kensche,
Stefan Conrad,
Erhard Rahm,
Ralf Klamma,
Harald Kosch,
Michael Granitzer,
Sven Apel,
Marko Rosenmüller,
Gunter Saake,
Olaf Spinczyk:
Datenbanksysteme in Business, Technologie und Web (BTW 2007), Workshop Proceedings, 5.-6. März 2007, Aachen, Germany
Verlagshaus Mainz, Aachen 2007 |
| 54 | | Ira Assent,
Ralph Krieger,
Thomas Seidl:
AttentionAttractor: efficient video stream similarity query processing in real time.
ICDE 2007: 1509-1510 |
| 53 | | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
DUSC: Dimensionality Unbiased Subspace Clustering.
ICDM 2007: 409-414 |
| 52 | | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
Subspace outlier mining in large multimedia databases.
Parallel Universes and Local Patterns 2007 |
| 51 | | Christoph Brochhaus,
Thomas Seidl:
Efficient Index Support for View-Dependent Queries on CFD Data.
SSTD 2007: 57-74 |
| 50 | | Christoph Brochhaus,
Thomas Seidl:
IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing.
VLDB 2007: 1354-1357 |
| 49 | | Mohammed J. Zaki,
Markus Peters,
Ira Assent,
Thomas Seidl:
Clicks: An effective algorithm for mining subspace clusters in categorical datasets.
Data Knowl. Eng. 60(1): 51-70 (2007) |
| 48 | | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
VISA: visual subspace clustering analysis.
SIGKDD Explorations 9(2): 5-12 (2007) |
| 2006 |
|---|
| 47 | | Ira Assent,
Thomas Seidl:
Efficient multi-step query processing for EMD-based similarity.
Content-Based Retrieval 2006 |
| 46 | | Christoph Brochhaus,
Marc Wichterich,
Thomas Seidl:
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search.
EDBT 2006: 204-221 |
| 45 | | Ira Assent,
Andrea Wenning,
Thomas Seidl:
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases.
ICDE 2006: 11 |
| 44 | | Ira Assent,
Ralph Krieger,
Boris Glavic,
Thomas Seidl:
Spatial Multidimensional Sequence Clustering.
ICDM Workshops 2006: 343-348 |
| 43 | | Ira Assent,
Marc Wichterich,
Thomas Seidl:
Adaptable Distance Functions for Similarity-based Multimedia Retrieval.
Datenbank-Spektrum 19: 23-31 (2006) |
| 2005 |
|---|
| 42 | | Christoph Brochhaus,
Jost Enderle,
Achim Schlosser,
Thomas Seidl,
Knut Stolze:
Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server.
BTW 2005: 67-86 |
| 41 | | Mohammed Javeed Zaki,
Markus Peters,
Ira Assent,
Thomas Seidl:
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets.
KDD 2005: 736-742 |
| 40 | | Jost Enderle,
Nicole Schneider,
Thomas Seidl:
Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases.
VLDB 2005: 385-396 |
| 39 | | Hans-Peter Kriegel,
Martin Pfeifle,
Marco Pötke,
Thomas Seidl,
Jost Enderle:
Object-Relational Spatial Indexing.
Spatial Databases 2005: 49-80 |
| 38 | | Christoph Brochhaus,
Jost Enderle,
Achim Schlosser,
Thomas Seidl,
Knut Stolze:
Efficient interval management using object-relational database servers.
Inform., Forsch. Entwickl. 20(3): 121-137 (2005) |
| 2004 |
|---|
| 37 | | Thomas Seidl:
Nearest Neighbor Search on Multimedia Indexing Structures.
CVDB 2004: 2 |
| 36 | | M. Tamer Özsu,
Jean Carrive,
Sébastien Gilles,
Izabela Grasland,
Roger Mohr,
Thomas Seidl:
CVDB 2004 Panel: Future Applications and Solutions.
CVDB 2004: 67-68 |
| 35 | | Hans-Peter Kriegel,
Martin Pfeifle,
Marco Pötke,
Thomas Seidl:
A Cost Model for Spatial Intersection Queries on RI-Trees.
DASFAA 2004: 331-338 |
| 34 | | Karin Kailing,
Hans-Peter Kriegel,
Stefan Schönauer,
Thomas Seidl:
Efficient Similarity Search for Hierarchical Data in Large Databases.
EDBT 2004: 676-693 |
| 33 | | Karin Kailing,
Hans-Peter Kriegel,
Stefan Schönauer,
Thomas Seidl:
Efficient Similarity Search in Large Databases of Tree Structured Objects.
ICDE 2004: 835-836 |
| 32 | | Jost Enderle,
Matthias Hampel,
Thomas Seidl:
Joining Interval Data in Relational Databases.
SIGMOD Conference 2004: 683-694 |
| 2003 |
|---|
| 31 | | Hans-Peter Kriegel,
Martin Pfeifle,
Marco Pötke,
Thomas Seidl:
The Paradigm of Relational Indexing: a Survey.
BTW 2003: 285-304 |
| 30 | | Hans-Peter Kriegel,
Martin Pfeifle,
Marco Pötke,
Matthias Renz,
Thomas Seidl:
Spatial Data Management for Virtual Product Development.
Computer Science in Perspective 2003: 216-230 |
| 29 | | Hans-Peter Kriegel,
Martin Pfeifle,
Marco Pötke,
Thomas Seidl:
Spatial Query Processing for High Resolutions.
DASFAA 2003: 17-26 |
| 28 | | Hans-Peter Kriegel,
Peer Kröger,
Zahi Mashael,
Martin Pfeifle,
Marco Pötke,
Thomas Seidl:
Effective Similarity Search on Voxelized CAD Object.
DASFAA 2003: 27- |
| 2002 |
|---|
| 27 | | Hans-Peter Kriegel,
Martin Pfeifle,
Marco Pötke,
Thomas Seidl:
A Cost Model for Interval Intersection Queries on RI-Trees.
SSDBM 2002: 131-141 |
| 26 | | Christian Böhm,
Hans-Peter Kriegel,
Thomas Seidl:
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search.
J. Intell. Inf. Syst. 19(2): 207-230 (2002) |
| 2001 |
|---|
| 25 | | Christian Böhm,
Hans-Peter Kriegel,
Thomas Seidl:
Adaptable Similarity Search Using Vector Quantization.
DaWaK 2001: 317-327 |
| 24 | | Hans-Peter Kriegel,
Andreas Müller,
Marco Pötke,
Thomas Seidl:
DIVE: Database Integration for Virtual Engineering.
ICDE Demo Sessions 2001: 15-16 |
| 23 | | Hans-Peter Kriegel,
Andreas Müller,
Marco Pötke,
Thomas Seidl:
Spatial Data Management for Computer Aided Design.
SIGMOD Conference 2001: 614 |
| 22 | | Hans-Peter Kriegel,
Marco Pötke,
Thomas Seidl:
Interval Sequences: An Object-Relational Approach to Manage Spatial Data.
SSTD 2001: 481-501 |
| 21 | | Hans-Peter Kriegel,
Marco Pötke,
Thomas Seidl:
Object-Relational Indexing for General Interval Relationships.
SSTD 2001: 522-542 |
| 2000 |
|---|
| 20 | | Hans-Peter Kriegel,
Marco Pötke,
Thomas Seidl:
Managing Intervals Efficiently in Object-Relational Databases.
VLDB 2000: 407-418 |
| 19 | | Stefan Berchtold,
Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space.
IEEE Trans. Knowl. Data Eng. 12(1): 45- (2000) |
| 1999 |
|---|
| 18 | | Mihael Ankerst,
Gabi Kastenmüller,
Hans-Peter Kriegel,
Thomas Seidl:
Nearest Neighbor Classification in 3D Protein Databases.
ISMB 1999: 34-43 |
| 17 | | Mihael Ankerst,
Gabi Kastenmüller,
Hans-Peter Kriegel,
Thomas Seidl:
3D Shape Histograms for Similarity Search and Classification in Spatial Databases.
SSD 1999: 207-226 |
| 16 | | Thomas Seidl,
Hans-Peter Kriegel:
Adaptable Similarity Search in Large Image Databases.
State-of-the-Art in Content-Based Image and Video Retrieval 1999: 297-317 |
| 15 | | Rolf Backofen,
François Bry,
Peter Clote,
Hans-Peter Kriegel,
Thomas Seidl,
Klaus U. Schulz:
Bioinformatik - Aktuelles Schlagwort.
Informatik Spektrum 22(5): 376-378 (1999) |
| 1998 |
|---|
| 14 | | Thomas Seidl,
Gabi Kastenmüller,
Hans-Peter Kriegel:
Similarity Search in 3D Protein Databases.
German Conference on Bioinformatics 1998 |
| 13 | | Stefan Berchtold,
Bernhard Ertl,
Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Fast Nearest Neighbor Search in High-Dimensional Space.
ICDE 1998: 209-218 |
| 12 | | Thomas Seidl,
Hans-Peter Kriegel:
Optimal Multi-Step k-Nearest Neighbor Search.
SIGMOD Conference 1998: 154-165 |
| 11 | | Mihael Ankerst,
Bernhard Braunmüller,
Hans-Peter Kriegel,
Thomas Seidl:
Improving Adaptable Similarity Query Processing by Using Approximations.
VLDB 1998: 206-217 |
| 10 | | Thomas Seidl:
Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract).
Datenbank Rundbrief 21: 96 (1998) |
| 9 | | Hans-Peter Kriegel,
Thomas Seidl:
Approximation-Based Similarity Search for 3-D Surface Segments.
GeoInformatica 2(2): 113-147 (1998) |
| 8 | | Mihael Ankerst,
Hans-Peter Kriegel,
Thomas Seidl:
A Multistep Approach for Shape Similarity Search in Image Databases.
IEEE Trans. Knowl. Data Eng. 10(6): 996-1004 (1998) |
| 1997 |
|---|
| 7 | | Hans-Peter Kriegel,
Thomas Schmidt,
Thomas Seidl:
3D Similarity Search by Shape Approximation.
SSD 1997: 11-28 |
| 6 | | Thomas Seidl,
Hans-Peter Kriegel:
Efficient User-Adaptable Similarity Search in Large Multimedia Databases.
VLDB 1997: 506-515 |
| 1995 |
|---|
| 5 | | Martin Ester,
Hans-Peter Kriegel,
Thomas Seidl,
Xiaowei Xu:
Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank.
BTW 1995: 373-382 |
| 4 | | Thomas Seidl,
Hans-Peter Kriegel:
Solvent Accessible Surface Representation in a Database System for Protein Docking.
ISMB 1995: 350-358 |
| 3 | | Thomas Seidl,
Hans-Peter Kriegel:
A 3D Molecular Surface Representation Supporting Neighborhood Queries.
SSD 1995: 240-258 |
| 1994 |
|---|
| 2 | | Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Supporting Data Mining of Large Databases by Visual Feedback Queries.
ICDE 1994: 302-313 |
| 1993 |
|---|
| 1 | | Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Visual Feedback in Querying Large Databases.
IEEE Visualization 1993: 158-165 |
