RWTH Aachen
List of publications from the DBLP Bibliography Server - FAQother persons with the same name:
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 | 2013 | |
|---|---|---|
| j27 |      | Thomas Seidl: Datenmanagement und -exploration an der RWTH Aachen. Datenbank-Spektrum 13(1): 55-58 (2013) |
| c144 | | Thomas Seidl, Sergej Fries, Brigitte Boden: MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. BTW 2013: 37-56 |
| c143 | | Marwan Hassani, Yunsu Kim, Thomas Seidl: Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework. DASFAA (2) 2013: 446-449 |
| c142 | | Christian Beecks, Steffen Kirchhoff, Thomas Seidl: Signature matching distance for content-based image retrieval. ICMR 2013: 41-48 |
| c141 | | Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl: Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. PAKDD (1) 2013: 261-275 |
| 2012 | ||
| j26 | | Stephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl: Tracing Evolving Subspace Clusters in Temporal Climate Data. Data Min. Knowl. Discov. 24(2): 387-410 (2012) |
| j25 | | Stephan Günnemann, Brigitte Boden, Thomas Seidl: Finding density-based subspace clusters in graphs with feature vectors. Data Min. Knowl. Discov. 25(2): 243-269 (2012) |
| j24 | | Philipp Kranen, Ira Assent, Thomas Seidl: An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum 12(1): 43-50 (2012) |
| j23 | | Anca Maria Ivanescu, Marc Wichterich, Christian Beecks, Thomas Seidl: The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities. Frontiers of Computer Science 6(5): 568-580 (2012) |
| c140 | | Brigitte Boden, Stephan Günnemann, Thomas Seidl: Tracing clusters in evolving graphs with node attributes. CIKM 2012: 2331-2334 |
| c139 | | Philipp Kranen, Stephan Wels, Tim Rohlfs, Sebastian Raubach, Thomas Seidl: A tool for automated evaluation of algorithms. CIKM 2012: 2692-2694 |
| c138 | | Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl: AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1) 2012: 228-242 |
| c137 | | Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read: Stream Data Mining Using the MOA Framework. DASFAA (2) 2012: 309-313 |
| c136 | | Anca Maria Ivanescu, Philipp Kranen, Manfred Smieschek, Philip Driessen, Thomas Seidl: PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. DASFAA (2) 2012: 319-322 |
| c135 | | Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE 2012: 1207-1210 |
| c134 | | Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl: Effective and Robust Mining of Temporal Subspace Clusters. ICDM 2012: 369-378 |
| c133 | | Anca Maria Ivanescu, Thivaharan Albin, Dirk Abel, Thomas Seidl: Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. ICDM Workshops 2012: 481-485 |
| c132 | | Stephan Günnemann, Hardy Kremer, Richard Musiol, Roman Haag, Thomas Seidl: A Subspace Clustering Extension for the KNIME Data Mining Framework. ICDM Workshops 2012: 886-889 |
| c131 | | Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim: Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. IEEE VAST 2012: 63-72 |
| c130 | | Stephan Günnemann, Ines Färber, Thomas Seidl: Multi-view clustering using mixture models in subspace projections. KDD 2012: 132-140 |
| c129 | | Stephan Günnemann, Ines Färber, Kittipat Virochsiri, Thomas Seidl: Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. KDD 2012: 352-360 |
| c128 | | Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl: Mining coherent subgraphs in multi-layer graphs with edge labels. KDD 2012: 1258-1266 |
| c127 | | Christian Beecks, Thomas Seidl: On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. MMM 2012: 346-357 |
| c126 | | Marwan Hassani, Thomas Seidl: Resource-Aware Distributed Clustering of Drifting Sensor Data Streams. NDT (1) 2012: 592-607 |
| c125 | | Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl: Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. PAKDD (1) 2012: 444-455 |
| c124 | | Thomas Seidl, Brigitte Boden, Sergej Fries: CC-MR - Finding Connected Components in Huge Graphs with MapReduce. ECML/PKDD (1) 2012: 458-473 |
| c123 | | Stephan Günnemann, Brigitte Boden, Thomas Seidl: Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. SSDBM 2012: 280-297 |
| c122 | | Philipp Kranen, Marwan Hassani, Thomas Seidl: BT* - An Advanced Algorithm for Anytime Classification. SSDBM 2012: 298-315 |
| c121 | | Anca Maria Ivanescu, Philipp Kranen, Thomas Seidl: Hinging Hyperplane Models for Multiple Predicted Variables. SSDBM 2012: 431-448 |
| c120 | | Marwan Hassani, Pascal Spaus, Mohamed Medhat Gaber, Thomas Seidl: Density-Based Projected Clustering of Data Streams. SUM 2012: 311-324 |
| i1 | | Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel: Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012) |
| 2011 | ||
| j22 | | Christoph Busch, Ulrike Korte, Sebastian Abt, Christian Böhm, Ines Färber, Sergej Fries, Johannes Merkle, Claudia Nickel, Alexander Nouak, Alexander Opel, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther, Xuebing Zhou: Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. Datenschutz und Datensicherheit 35(3): 183-191 (2011) |
| j21 | | Nikos Mamoulis, Thomas Seidl: Special section on spatial and temporal databases. GeoInformatica 15(4): 663-664 (2011) |
| j20 | | Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: The ClusTree: indexing micro-clusters for anytime stream mining. Knowl. Inf. Syst. 29(2): 249-272 (2011) |
| p3 | | |
| c119 | | Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther: Efficient Database Techniques for Identification with Fuzzy Vault Templates. BIOSIG 2011: 115-126 |
| c118 |  | Marc Wichterich, Anca Maria Ivanescu, Thomas Seidl: Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance. BTW 2011: 135-146 |
| c117 | | Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl: A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW 2011: 347-366 |
| c116 | | Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther: Filtertechniken für geschützte biometrische Datenbanken. BTW 2011: 379-389 |
| c115 | | Thivaharan Albin, Peter Drews, Frank J. Hesseler, Anca Maria Ivanescu, Thomas Seidl, Dirk Abel: A hybrid control approach for low temperature combustion engine control. CDC-ECE 2011: 6846-6851 |
| c114 | | Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl: Scalable density-based subspace clustering. CIKM 2011: 1077-1086 |
| c113 | | Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl: External evaluation measures for subspace clustering. CIKM 2011: 1363-1372 |
| c112 | | Martin Krulis, Jakub Lokoc, Christian Beecks, Tomás Skopal, Thomas Seidl: Processing the signature quadratic form distance on many-core GPU architectures. CIKM 2011: 2373-2376 |
| c111 | | Stephan Günnemann, Hardy Kremer, Dominik Lenhard, Thomas Seidl: Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. EDBT 2011: 237-248 |
| c110 | | Roland Assam, Thomas Seidl: Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams. SPRINGL 2011: 9-16 |
| c109 | | Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl: Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. ICCV 2011: 1754-1761 |
| c108 | | Emmanuel Müller, Matthias Schiffer, Thomas Seidl: Statistical selection of relevant subspace projections for outlier ranking. ICDE 2011: 434-445 |
| c107 | | Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl: Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM 2011: 231-240 |
| c106 | | Christian Beecks, Thomas Seidl: Analyzing the inner workings of the Signature Quadratic Form Distance. ICME 2011: 1-6 |
| c105 | | Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: An effective evaluation measure for clustering on evolving data streams. KDD 2011: 868-876 |
| c104 | | Marwan Hassani, Thomas Seidl: Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. Mobile Data Management (2) 2011: 55-57 |
| c103 | | Christian Beecks, Jakub Lokoc, Thomas Seidl, Tomás Skopal: Indexing the signature quadratic form distance for efficient content-based multimedia retrieval. ICMR 2011: 24 |
| c102 | | Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl: Modeling multimedia contents through probabilistic feature signatures. ACM Multimedia 2011: 1433-1436 |
| c101 | | Christian Beecks, Ira Assent, Thomas Seidl: Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. MMM (1) 2011: 140-150 |
| c100 | | Christian Beecks, Merih Seran Uysal, Thomas Seidl: L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases. MMM (1) 2011: 381-391 |
| c99 | | Anca Maria Ivanescu, Marc Wichterich, Thomas Seidl: ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information. PAKDD Workshops 2011: 185-196 |
| c98 | | Stephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl: Tracing Evolving Clusters by Subspace and Value Similarity. PAKDD (2) 2011: 444-456 |
| c97 | | Stephan Günnemann, Brigitte Boden, Thomas Seidl: DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. ECML/PKDD (1) 2011: 565-580 |
| c96 | | Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl: MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) 2011: 617-620 |
| c95 | | Christian Beecks, Anca Maria Ivanescu, Thomas Seidl, Diana Martin, Philipp Pischke, Reinhold Kneer: Applying similarity search for the investigation of the fuel injection process. SISAP 2011: 117-118 |
| c94 | | Jakub Lokoc, Christian Beecks, Thomas Seidl, Tomás Skopal: Parameterized earth mover's distance for efficient metric space indexing. SISAP 2011: 121-122 |
| c93 | | Hardy Kremer, Stephan Günnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl: Efficient Processing of Multiple DTW Queries in Time Series Databases. SSDBM 2011: 150-167 |
| c92 | | Philipp Kranen, Felix Reidl, Fernando Sanchez Villaamil, Thomas Seidl: Hierarchical Clustering for Real-Time Stream Data with Noise. SSDBM 2011: 405-413 |
| 2010 | ||
| j19 | | Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl: MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Journal of Machine Learning Research - Proceedings Track 11: 44-50 (2010) |
| j18 | | Stephan Günnemann, Ines Färber, Hardy Kremer, Thomas Seidl: CoDA: Interactive Cluster Based Concept Discovery. PVLDB 3(2): 1633-1636 (2010) |
| c91 | | Emmanuel Müller, Matthias Schiffer, Thomas Seidl: Adaptive outlierness for subspace outlier ranking. CIKM 2010: 1629-1632 |
| c90 | | Christian Beecks, Merih Seran Uysal, Thomas Seidl: Signature Quadratic Form Distance. CIVR 2010: 438-445 |
| c89 | | Ira Assent, Hardy Kremer, Thomas Seidl: Speeding Up Complex Video Copy Detection Queries. DASFAA (1) 2010: 307-321 |
| c88 | | Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl: Air-Indexing on Error Prone Communication Channels. DASFAA (1) 2010: 505-519 |
| c87 | | Ira Assent, Hardy Kremer, Stephan Günnemann, Thomas Seidl: Pattern detector: fast detection of suspicious stream patterns for immediate reaction. EDBT 2010: 709-712 |
| c86 | | Christian Beecks, Merih Seran Uysal, Thomas Seidl: Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. ICDE Workshops 2010: 10-15 |
| c85 | | Hardy Kremer, Stephan Günnemann, Thomas Seidl: Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. ICDM Workshops 2010: 96-97 |
| c84 | | Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl: Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. ICDM 2010: 845-850 |
| c83 | | Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM 2010: 1220 |
| c82 | | Stephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl: MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. ICDM Workshops 2010: 1387-1390 |
| c81 | | Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. ICDM Workshops 2010: 1400-1403 |
| c80 | | Christian Beecks, Thilo Stadelmann, Bernd Freisleben, Thomas Seidl: Visual speaker model exploration. ICME 2010: 727-728 |
| c79 | | Christian Beecks, Merih Seran Uysal, Thomas Seidl: A comparative study of similarity measures for content-based multimedia retrieval. ICME 2010: 1552-1557 |
| c78 | | Christian Beecks, Sascha Wiedenfeld, Thomas Seidl: Improving the Efficiency of Content-Based Multimedia Exploration. ICPR 2010: 3163-3166 |
| c77 | | Christian Beecks, Philip Driessen, Thomas Seidl: Index support for content-based multimedia exploration. ACM Multimedia 2010: 999-1002 |
| c76 | | Stephan Günnemann, Thomas Seidl: Subgraph Mining on Directed and Weighted Graphs. PAKDD (2) 2010: 133-146 |
| c75 | | Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl: Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. PAKDD (2) 2010: 325-334 |
| c74 | | Emmanuel Müller, Matthias Schiffer, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl: SOREX: Subspace Outlier Ranking Exploration Toolkit. ECML/PKDD (3) 2010: 607-610 |
| c73 | | Stephan Günnemann, Hardy Kremer, Thomas Seidl: Subspace Clustering for Uncertain Data. SDM 2010: 385-396 |
| c72 | | Christian Beecks, Merih Seran Uysal, Thomas Seidl: Similarity matrix compression for efficient signature quadratic form distance computation. SISAP 2010: 109-114 |
| c71 | | Philipp Kranen, Stephan Günnemann, Sergej Fries, Thomas Seidl: MC-Tree: Improving Bayesian Anytime Classification. SSDBM 2010: 252-269 |
| 2009 | ||
| j17 | | Philipp Kranen, Thomas Seidl: Harnessing the strengths of anytime algorithms for constant data streams. Data Min. Knowl. Discov. 19(2): 245-260 (2009) |
| j16 | | Matthias Schiffer, Emmanuel Müller, Thomas Seidl: SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. Datenbank-Spektrum 29: 53-55 (2009) |
| j15 | | 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) |
| j14 | | Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data. PVLDB 2(1): 1270-1281 (2009) |
| c70 | | Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl: Relevance Feedback for the Earth Mover's Distance. Adaptive Multimedia Retrieval 2009: 72-86 |
| c69 | | Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl: High-Dimensional Indexing for Multimedia Features. BTW 2009: 187-206 |
| c68 | | Christian Beecks, Marc Wichterich, Thomas Seidl: Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken. BTW 2009: 207-216 |
| c67 | | Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl: Detection of orthogonal concepts in subspaces of high dimensional data. CIKM 2009: 1317-1326 |
| c66 | | 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 |
| c65 | | Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, Suresh Venkatasubramanian: Type-based categorization of relational attributes. EDBT 2009: 84-95 |
| c64 | | 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 |
| c63 | | Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: Self-Adaptive Anytime Stream Clustering. ICDM 2009: 249-258 |
| c62 | | 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 |
| c61 | | 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 |
| c60 | | Christian Beecks, Merih Seran Uysal, Thomas Seidl: Signature quadratic form distances for content-based similarity. ACM Multimedia 2009: 697-700 |
| c59 | | Philipp Kranen, Thomas Seidl: Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. ECML/PKDD (1) 2009: 31 |
| c58 | | Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009: 173-184 |
| c57 | | Emmanuel Müller, Ira Assent, Thomas Seidl: HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM 2009: 497-516 |
| c56 | | Philipp Kranen, Thomas Seidl: Using Index Structures for Anytime Stream Mining. VLDB PhD Workshop 2009 |
| r1 | | |
| e3 | | Nikos Mamoulis, Thomas Seidl, Torben Bach Pedersen, Kristian Torp, Ira Assent (Eds.): Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings. Lecture Notes in Computer Science 5644, Springer 2009, isbn 978-3-642-02981-3 |
| 2008 | ||
| j13 | | 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) |
| j12 | | 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) |
| j11 | | Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl: Clustering multidimensional sequences in spatial and temporal databases. Knowl. Inf. Syst. 16(1): 29-51 (2008) |
| c55 | | Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: EDSC: efficient density-based subspace clustering. CIKM 2008: 1093-1102 |
| c54 | | Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl: The TS-tree: efficient time series search and retrieval. EDBT 2008: 252-263 |
| c53 | | 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 |
| c52 | | Marc Wichterich, Christian Beecks, Thomas Seidl: Ranking multimedia databases via relevance feedback with history and foresight support. ICDE Workshops 2008: 596-599 |
| c51 | | Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl: OutRank: ranking outliers in high dimensional data. ICDE Workshops 2008: 600-603 |
| c50 | | Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM 2008: 719-724 |
| c49 | | Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl: Morpheus: interactive exploration of subspace clustering. KDD 2008: 1089-1092 |
| c48 | | 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 |
| c47 | | Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl: SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. PAKDD 2008: 40-52 |
| c46 | | Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl: Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) 2008: 666-671 |
| c45 | | 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 |
| c44 | | Christoph Brochhaus, Thomas Seidl: IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. SSDBM 2008: 598-604 |
| p2 | | |
| 2007 | ||
| j10 | | 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) |
| j9 | | Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: VISA: visual subspace clustering analysis. SIGKDD Explorations 9(2): 5-12 (2007) |
| c43 | | Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns 2007 |
| c42 | | Ira Assent, Ralph Krieger, Thomas Seidl: AttentionAttractor: efficient video stream similarity query processing in real time. ICDE 2007: 1509-1510 |
| c41 | | Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: DUSC: Dimensionality Unbiased Subspace Clustering. ICDM 2007: 409-414 |
| c40 | | Christoph Brochhaus, Thomas Seidl: Efficient Index Support for View-Dependent Queries on CFD Data. SSTD 2007: 57-74 |
| c39 | | Christoph Brochhaus, Thomas Seidl: IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing. VLDB 2007: 1354-1357 |
| e2 | | Alfons Kemper, Harald Schöning, Thomas Rose, Matthias Jarke, Thomas Seidl, Christoph Quix, Christoph Brochhaus (Eds.): Datenbanksysteme in Business, Technologie und Web (BTW 2007), 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, 7.-9. März 2007, Aachen, Germany. LNI 103, GI 2007, isbn 978-3-88579-197-3 |
| e1 | | 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 (Eds.): Datenbanksysteme in Business, Technologie und Web (BTW 2007), Workshop Proceedings, 5.-6. März 2007, Aachen, Germany. Verlagshaus Mainz, Aachen 2007, isbn 3-86130-929-7 |
| 2006 | ||
| j8 | | Ira Assent, Marc Wichterich, Thomas Seidl: Adaptable Distance Functions for Similarity-based Multimedia Retrieval. Datenbank-Spektrum 19: 23-31 (2006) |
| c38 | | Ira Assent, Thomas Seidl: Efficient multi-step query processing for EMD-based similarity. Content-Based Retrieval 2006 |
| c37 | | Christoph Brochhaus, Marc Wichterich, Thomas Seidl: Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search. EDBT 2006: 204-221 |
| c36 | | Ira Assent, Andrea Wenning, Thomas Seidl: Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. ICDE 2006: 11 |
| c35 | | Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl: Spatial Multidimensional Sequence Clustering. ICDM Workshops 2006: 343-348 |
| 2005 | ||
| j7 | | 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) |
| p1 | | Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl, Jost Enderle: Object-Relational Spatial Indexing. Spatial Databases 2005: 49-80 |
| c34 | | 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 |
| c33 | | Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl: CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. KDD 2005: 736-742 |
| c32 | | Jost Enderle, Nicole Schneider, Thomas Seidl: Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases. VLDB 2005: 385-396 |
| 2004 | ||
| c31 | | |
| c30 | | M. Tamer Özsu, Jean Carrive, Sébastien Gilles, Izabela Grasland, Roger Mohr, Thomas Seidl: CVDB 2004 Panel: Future Applications and Solutions. CVDB 2004: 67-68 |
| c29 | | Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl: A Cost Model for Spatial Intersection Queries on RI-Trees. DASFAA 2004: 331-338 |
| c28 | | Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl: Efficient Similarity Search for Hierarchical Data in Large Databases. EDBT 2004: 676-693 |
| c27 | | Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl: Efficient Similarity Search in Large Databases of Tree Structured Objects. ICDE 2004: 835 |
| c26 | | Jost Enderle, Matthias Hampel, Thomas Seidl: Joining Interval Data in Relational Databases. SIGMOD Conference 2004: 683-694 |
| 2003 | ||
| c25 | | 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 |
| c24 | | Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl: The Paradigm of Relational Indexing: a Survey. BTW 2003: 285-304 |
| c23 | | Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl: Spatial Query Processing for High Resolutions. DASFAA 2003: 17-26 |
| c22 | | Hans-Peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl: Effective Similarity Search on Voxelized CAD Object. DASFAA 2003: 27-36 |
| 2002 | ||
| j6 | | 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) |
| c21 | | Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl: A Cost Model for Interval Intersection Queries on RI-Trees. SSDBM 2002: 131-141 |
| 2001 | ||
| c20 | | Christian Böhm, Hans-Peter Kriegel, Thomas Seidl: Adaptable Similarity Search Using Vector Quantization. DaWaK 2001: 317-327 |
| c19 | | Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl: DIVE: Database Integration for Virtual Engineering. ICDE Demo Sessions 2001: 15-16 |
| c18 | | Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl: Spatial Data Management for Computer Aided Design. SIGMOD Conference 2001: 614 |
| c17 | | Hans-Peter Kriegel, Marco Pötke, Thomas Seidl: Interval Sequences: An Object-Relational Approach to Manage Spatial Data. SSTD 2001: 481-501 |
| c16 | | Hans-Peter Kriegel, Marco Pötke, Thomas Seidl: Object-Relational Indexing for General Interval Relationships. SSTD 2001: 522-542 |
| 2000 | ||
| j5 | | 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): 45-57 (2000) |
| c15 | | Hans-Peter Kriegel, Marco Pötke, Thomas Seidl: Managing Intervals Efficiently in Object-Relational Databases. VLDB 2000: 407-418 |
| 1999 | ||
| j4 | | Rolf Backofen, François Bry, Peter Clote, Hans-Peter Kriegel, Thomas Seidl, Klaus U. Schulz: Bioinformatik - Aktuelles Schlagwort. Informatik Spektrum 22(5): 376-378 (1999) |
| c14 | | 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 |
| c13 | | Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl: Nearest Neighbor Classification in 3D Protein Databases. ISMB 1999: 34-43 |
| c12 | | Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl: 3D Shape Histograms for Similarity Search and Classification in Spatial Databases. SSD 1999: 207-226 |
| 1998 | ||
| j3 | | Hans-Peter Kriegel, Thomas Seidl: Approximation-Based Similarity Search for 3-D Surface Segments. GeoInformatica 2(2): 113-147 (1998) |
| j2 | | Thomas Seidl: Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract). Datenbank Rundbrief 21: 96 (1998) |
| j1 | | 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) |
| c11 | | Thomas Seidl, Gabi Kastenmüller, Hans-Peter Kriegel: Similarity Search in 3D Protein Databases. German Conference on Bioinformatics 1998 |
| c10 | | Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Fast Nearest Neighbor Search in High-Dimensional Space. ICDE 1998: 209-218 |
| c9 | | Thomas Seidl, Hans-Peter Kriegel: Optimal Multi-Step k-Nearest Neighbor Search. SIGMOD Conference 1998: 154-165 |
| c8 | | Mihael Ankerst, Bernhard Braunmüller, Hans-Peter Kriegel, Thomas Seidl: Improving Adaptable Similarity Query Processing by Using Approximations. VLDB 1998: 206-217 |
| 1997 | ||
| c7 | | Hans-Peter Kriegel, Thomas Schmidt, Thomas Seidl: 3D Similarity Search by Shape Approximation. SSD 1997: 11-28 |
| c6 | | Thomas Seidl, Hans-Peter Kriegel: Efficient User-Adaptable Similarity Search in Large Multimedia Databases. VLDB 1997: 506-515 |
| 1995 | ||
| c5 | | Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu: Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. BTW 1995: 373-382 |
| c4 | | Thomas Seidl, Hans-Peter Kriegel: Solvent Accessible Surface Representation in a Database System for Protein Docking. ISMB 1995: 350-358 |
| c3 | | Thomas Seidl, Hans-Peter Kriegel: A 3D Molecular Surface Representation Supporting Neighborhood Queries. SSD 1995: 240-258 |
| 1994 | ||
| c2 | | Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994: 302-313 |
| 1993 | ||
| c1 | | Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Visual Feedback in Querying Large Databases. IEEE Visualization 1993: 158-165 |
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