Thomas Seidl

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2013
174MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. Thomas Seidl, Sergej Fries, Brigitte Boden. BTW 2013, 37-56. Web SearchBibTeXDownload
173Datenmanagement und -exploration an der RWTH Aachen. Thomas Seidl. Datenbank-Spektrum (13): 55-58 (2013). Web SearchBibTeXDownload
2012
172Tracing clusters in evolving graphs with node attributes. Brigitte Boden, Stephan Günnemann, Thomas Seidl. CIKM 2012, 2331-2334. Web SearchBibTeXDownload
171A tool for automated evaluation of algorithms. Philipp Kranen, Stephan Wels, Tim Rohlfs, Sebastian Raubach, Thomas Seidl. CIKM 2012, 2692-2694. Web SearchBibTeXDownload
170Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel. Dagstuhl Reports (2): 58-83 (2012). Web SearchBibTeXDownload
169AnyOut: Anytime Outlier Detection on Streaming Data. Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl. DASFAA (1) 2012, 228-242. Web SearchBibTeXDownload
168Stream Data Mining Using the MOA Framework. Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read. DASFAA (2) 2012, 309-313. Web SearchBibTeXDownload
167PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. Anca Maria Ivanescu, Philipp Kranen, Manfred Smieschek, Philip Driessen, Thomas Seidl. DASFAA (2) 2012, 319-322. Web SearchBibTeXDownload
166Tracing Evolving Subspace Clusters in Temporal Climate Data. Stephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl. Data Min. Knowl. Discov. (24): 387-410 (2012). Web SearchBibTeXDownload
165Finding density-based subspace clusters in graphs with feature vectors. Stephan Günnemann, Brigitte Boden, Thomas Seidl. Data Min. Knowl. Discov. (25): 243-269 (2012). Web SearchBibTeXDownload
164An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Philipp Kranen, Ira Assent, Thomas Seidl. Datenbank-Spektrum (12): 43-50 (2012). Web SearchBibTeXDownload
163CC-MR - Finding Connected Components in Huge Graphs with MapReduce. Thomas Seidl, Brigitte Boden, Sergej Fries. ECML/PKDD (1) 2012, 458-473. Web SearchBibTeXDownload
162The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities. Anca Maria Ivanescu, Marc Wichterich, Christian Beecks, Thomas Seidl. Frontiers of Computer Science (6): 568-580 (2012). Web SearchBibTeXDownload
161Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl. ICDE 2012, 1207-1210. Web SearchBibTeXDownload
160Effective and Robust Mining of Temporal Subspace Clusters. Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl. ICDM 2012, 369-378. Web SearchBibTeXDownload
159A Subspace Clustering Extension for the KNIME Data Mining Framework. Stephan Günnemann, Hardy Kremer, Richard Musiol, Roman Haag, Thomas Seidl. ICDM Workshops 2012, 886-889. Web SearchBibTeXDownload
158Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. Anca Maria Ivanescu, Thivaharan Albin, Dirk Abel, Thomas Seidl. ICDM Workshops 2012, 481-485. Web SearchBibTeXDownload
157Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim. IEEE VAST 2012, 63-72. Web SearchBibTeXDownload
156Multi-view clustering using mixture models in subspace projections. Stephan Günnemann, Ines Färber, Thomas Seidl. KDD 2012, 132-140. Web SearchBibTeXDownload
155Mining coherent subgraphs in multi-layer graphs with edge labels. Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl. KDD 2012, 1258-1266. Web SearchBibTeXDownload
154Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. Stephan Günnemann, Ines Färber, Kittipat Virochsiri, Thomas Seidl. KDD 2012, 352-360. Web SearchBibTeXDownload
153On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. Christian Beecks, Thomas Seidl. MMM 2012, 346-357. Web SearchBibTeXDownload
152Resource-Aware Distributed Clustering of Drifting Sensor Data Streams. Marwan Hassani, Thomas Seidl. NDT (1) 2012, 592-607. Web SearchBibTeXDownload
151Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl. PAKDD (1) 2012, 444-455. Web SearchBibTeXDownload
150Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. Stephan Günnemann, Brigitte Boden, Thomas Seidl. SSDBM 2012, 280-297. Web SearchBibTeXDownload
149BT* - An Advanced Algorithm for Anytime Classification. Philipp Kranen, Marwan Hassani, Thomas Seidl. SSDBM 2012, 298-315. Web SearchBibTeXDownload
148Hinging Hyperplane Models for Multiple Predicted Variables. Anca Maria Ivanescu, Philipp Kranen, Thomas Seidl. SSDBM 2012, 431-448. Web SearchBibTeXDownload
147Density-Based Projected Clustering of Data Streams. Marwan Hassani, Pascal Spaus, Mohamed Medhat Gaber, Thomas Seidl. SUM 2012, 311-324. Web SearchBibTeXDownload
2011
146Modeling multimedia contents through probabilistic feature signatures. Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl. ACM Multimedia 2011, 1433-1436. Web SearchBibTeXDownload
145Binary Search. Thomas Seidl, Jost Enderle. Algorithms Unplugged 2011, 5-11. Web SearchBibTeXDownload
144Efficient Database Techniques for Identification with Fuzzy Vault Templates. Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther. BIOSIG 2011, 115-126. Web SearchBibTeXDownload
143A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl. BTW 2011, 347-366. Web SearchBibTeX
142Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance. Marc Wichterich, Anca Maria Ivanescu, Thomas Seidl. BTW 2011, 135-146. Web SearchBibTeX
141Filtertechniken für geschützte biometrische Datenbanken. Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther. BTW 2011, 379-389. Web SearchBibTeX
140A hybrid control approach for low temperature combustion engine control. Thivaharan Albin, Peter Drews, Frank J. Hesseler, Anca Maria Ivanescu, Thomas Seidl, Dirk Abel. CDC-ECE 2011, 6846-6851. Web SearchBibTeXDownload
139Processing the signature quadratic form distance on many-core GPU architectures. Martin Krulis, Jakub Lokoc, Christian Beecks, Tomás Skopal, Thomas Seidl. CIKM 2011, 2373-2376. Web SearchBibTeXDownload
138External evaluation measures for subspace clustering. Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl. CIKM 2011, 1363-1372. Web SearchBibTeXDownload
137Scalable density-based subspace clustering. Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl. CIKM 2011, 1077-1086. Web SearchBibTeXDownload
136Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. 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. Datenschutz und Datensicherheit (35): 183-191 (2011). Web SearchBibTeXDownload
135DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. Stephan Günnemann, Brigitte Boden, Thomas Seidl. ECML/PKDD (1) 2011, 565-580. Web SearchBibTeXDownload
134MOA: A Real-Time Analytics Open Source Framework. Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. ECML/PKDD (3) 2011, 617-620. Web SearchBibTeXDownload
133Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. Stephan Günnemann, Hardy Kremer, Dominik Lenhard, Thomas Seidl. EDBT 2011, 237-248. Web SearchBibTeXDownload
132Special section on spatial and temporal databases. Nikos Mamoulis, Thomas Seidl. GeoInformatica (15): 663-664 (2011). Web SearchBibTeXDownload
131Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl. ICCV 2011, 1754-1761. Web SearchBibTeXDownload
130Statistical selection of relevant subspace projections for outlier ranking. Emmanuel Müller, Matthias Schiffer, Thomas Seidl. ICDE 2011, 434-445. Web SearchBibTeXDownload
129Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl. ICDM 2011, 231-240. Web SearchBibTeXDownload
128Analyzing the inner workings of the Signature Quadratic Form Distance. Christian Beecks, Thomas Seidl. ICME 2011, 1-6. Web SearchBibTeXDownload
127Indexing the signature quadratic form distance for efficient content-based multimedia retrieval. Christian Beecks, Jakub Lokoc, Thomas Seidl, Tomás Skopal. ICMR 2011, 24. Web SearchBibTeXDownload
126An effective evaluation measure for clustering on evolving data streams. Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. KDD 2011, 868-876. Web SearchBibTeXDownload
125The ClusTree: indexing micro-clusters for anytime stream mining. Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl. Knowl. Inf. Syst. (29): 249-272 (2011). Web SearchBibTeXDownload
124L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases. Christian Beecks, Merih Seran Uysal, Thomas Seidl. MMM (1) 2011, 381-391. Web SearchBibTeXDownload
123Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. Christian Beecks, Ira Assent, Thomas Seidl. MMM (1) 2011, 140-150. Web SearchBibTeXDownload
122Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. Marwan Hassani, Thomas Seidl. Mobile Data Management (2) 2011, 55-57. Web SearchBibTeXDownload
121Tracing Evolving Clusters by Subspace and Value Similarity. Stephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl. PAKDD (2) 2011, 444-456. Web SearchBibTeXDownload
120ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information. Anca Maria Ivanescu, Marc Wichterich, Thomas Seidl. PAKDD Workshops 2011, 185-196. Web SearchBibTeXDownload
119Applying similarity search for the investigation of the fuel injection process. Christian Beecks, Anca Maria Ivanescu, Thomas Seidl, Diana Martin, Philipp Pischke, Reinhold Kneer. SISAP 2011, 117-118. Web SearchBibTeXDownload
118Parameterized earth mover's distance for efficient metric space indexing. Jakub Lokoc, Christian Beecks, Thomas Seidl, Tomás Skopal. SISAP 2011, 121-122. Web SearchBibTeXDownload
117Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams. Roland Assam, Thomas Seidl. SPRINGL 2011, 9-16. Web SearchBibTeXDownload
116Efficient Processing of Multiple DTW Queries in Time Series Databases. Hardy Kremer, Stephan Günnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl. SSDBM 2011, 150-167. Web SearchBibTeXDownload
115Hierarchical Clustering for Real-Time Stream Data with Noise. Philipp Kranen, Felix Reidl, Fernando Sanchez Villaamil, Thomas Seidl. SSDBM 2011, 405-413. Web SearchBibTeXDownload
2010
114Index support for content-based multimedia exploration. Christian Beecks, Philip Driessen, Thomas Seidl. ACM Multimedia 2010, 999-1002. Web SearchBibTeXDownload
113Adaptive outlierness for subspace outlier ranking. Emmanuel Müller, Matthias Schiffer, Thomas Seidl. CIKM 2010, 1629-1632. Web SearchBibTeXDownload
112Signature Quadratic Form Distance. Christian Beecks, Merih Seran Uysal, Thomas Seidl. CIVR 2010, 438-445. Web SearchBibTeXDownload
111Speeding Up Complex Video Copy Detection Queries. Ira Assent, Hardy Kremer, Thomas Seidl. DASFAA (1) 2010, 307-321. Web SearchBibTeXDownload
110Air-Indexing on Error Prone Communication Channels. Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl. DASFAA (1) 2010, 505-519. Web SearchBibTeXDownload
109SOREX: Subspace Outlier Ranking Exploration Toolkit. Emmanuel Müller, Matthias Schiffer, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl. ECML/PKDD (3) 2010, 607-610. Web SearchBibTeXDownload
108Pattern detector: fast detection of suspicious stream patterns for immediate reaction. Ira Assent, Hardy Kremer, Stephan Günnemann, Thomas Seidl. EDBT 2010, 709-712. Web SearchBibTeXDownload
107Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. Christian Beecks, Merih Seran Uysal, Thomas Seidl. ICDE Workshops 2010, 10-15. Web SearchBibTeXDownload
106Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl. ICDM 2010, 1220. Web SearchBibTeXDownload
105Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl. ICDM 2010, 845-850. Web SearchBibTeXDownload
104Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. ICDM Workshops 2010, 1400-1403. Web SearchBibTeXDownload
103MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. Stephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl. ICDM Workshops 2010, 1387-1390. Web SearchBibTeXDownload
102Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. Hardy Kremer, Stephan Günnemann, Thomas Seidl. ICDM Workshops 2010, 96-97. Web SearchBibTeXDownload
101A comparative study of similarity measures for content-based multimedia retrieval. Christian Beecks, Merih Seran Uysal, Thomas Seidl. ICME 2010, 1552-1557. Web SearchBibTeXDownload
100Visual speaker model exploration. Christian Beecks, Thilo Stadelmann, Bernd Freisleben, Thomas Seidl. ICME 2010, 727-728. Web SearchBibTeXDownload
99Improving the Efficiency of Content-Based Multimedia Exploration. Christian Beecks, Sascha Wiedenfeld, Thomas Seidl. ICPR 2010, 3163-3166. Web SearchBibTeXDownload
98MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. Journal of Machine Learning Research - Proceedings Track (11): 44-50 (2010). Web SearchBibTeXDownload
97Subgraph Mining on Directed and Weighted Graphs. Stephan Günnemann, Thomas Seidl. PAKDD (2) 2010, 133-146. Web SearchBibTeXDownload
96Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl. PAKDD (2) 2010, 325-334. Web SearchBibTeXDownload
95CoDA: Interactive Cluster Based Concept Discovery. Stephan Günnemann, Ines Färber, Hardy Kremer, Thomas Seidl. PVLDB (3): 1633-1636 (2010). Web SearchBibTeXDownload
94Subspace Clustering for Uncertain Data. Stephan Günnemann, Hardy Kremer, Thomas Seidl. SDM 2010, 385-396. Web SearchBibTeXDownload
93Similarity matrix compression for efficient signature quadratic form distance computation. Christian Beecks, Merih Seran Uysal, Thomas Seidl. SISAP 2010, 109-114. Web SearchBibTeXDownload
92MC-Tree: Improving Bayesian Anytime Classification. Philipp Kranen, Stephan Günnemann, Sergej Fries, Thomas Seidl. SSDBM 2010, 252-269. Web SearchBibTeXDownload
2009
91Signature quadratic form distances for content-based similarity. Christian Beecks, Merih Seran Uysal, Thomas Seidl. ACM Multimedia 2009, 697-700. Web SearchBibTeXDownload
90Relevance Feedback for the Earth Mover's Distance. Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl. Adaptive Multimedia Retrieval 2009, 72-86. Web SearchBibTeXDownload
89High-Dimensional Indexing for Multimedia Features. Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl. BTW 2009, 187-206. Web SearchBibTeXDownload
88Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken. Christian Beecks, Marc Wichterich, Thomas Seidl. BTW 2009, 207-216. Web SearchBibTeXDownload
87Detection of orthogonal concepts in subspaces of high dimensional data. Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl. CIKM 2009, 1317-1326. Web SearchBibTeXDownload
86Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl. CIKM 2009, 1621-1624. Web SearchBibTeXDownload
85Harnessing the strengths of anytime algorithms for constant data streams. Philipp Kranen, Thomas Seidl. Data Min. Knowl. Discov. (19): 245-260 (2009). Web SearchBibTeXDownload
84SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. Matthias Schiffer, Emmanuel Müller, Thomas Seidl. Datenbank-Spektrum (29): 53-55 (2009). Web SearchBibTeX
83Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. Philipp Kranen, Thomas Seidl. ECML/PKDD (1) 2009, 31. Cited by 2Web SearchBibTeXDownload
82Indexing density models for incremental learning and anytime classification on data streams. Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann. EDBT 2009, 311-322. Cited by 1Web SearchBibTeXDownload
81Type-based categorization of relational attributes. Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, Suresh Venkatasubramanian. EDBT 2009, 84-95. Cited by 1Web SearchBibTeXDownload
80Nearest Neighbor Classification. Thomas Seidl. Encyclopedia of Database Systems 2009, 1885-1890. Web SearchBibTeXDownload
79Self-Adaptive Anytime Stream Clustering. Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl. ICDM 2009, 249-258. Web SearchBibTeXDownload
78Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. Emmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl. ICDM 2009, 377-386. Web SearchBibTeXDownload
77VR Based Visualization and Exploration of Plant Biological Data. Wolfram Schoor, Felix Bollenbeck, Thomas Seidl, Diana Weier, Winfriede Weschke, Bernhard Preim, Udo Seiffert, Rüdiger Mecke. JVRB (6) (2009). Web SearchBibTeXDownload
76EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. Marwan Hassani, Emmanuel Müller, Thomas Seidl. KDD Workshop on Knowledge Discovery from Sensor Data 2009, 39-48. Web SearchBibTeXDownload
75Anticipatory DTW for Efficient Similarity Search in Time Series Databases. Ira Assent, Marc Wichterich, Ralph Krieger, Hardy Kremer, Thomas Seidl. PVLDB (2): 826-837 (2009). Web SearchBibTeXDownload
74Evaluating Clustering in Subspace Projections of High Dimensional Data. Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl. PVLDB (2): 1270-1281 (2009). Cited by 1Web SearchBibTeXDownload
73DensEst: Density Estimation for Data Mining in High Dimensional Spaces. Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl. SDM 2009, 173-184. Cited by 1Web SearchBibTeXDownload
72HSM: Heterogeneous Subspace Mining in High Dimensional Data. Emmanuel Müller, Ira Assent, Thomas Seidl. SSDBM 2009, 497-516. Web SearchBibTeXDownload
71Using Index Structures for Anytime Stream Mining. Philipp Kranen, Thomas Seidl. VLDB PhD Workshop 2009. Web SearchBibTeXDownload
2008
70Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. David Ruau, Corinna Kolárik, Heinz-Theodor Mevissen, Emmanuel Müller, Ira Assent, Ralph Krieger, Thomas Seidl, Martin Hofmann-Apitius, Martin Zenke. BMC Bioinformatics (9) (2008). Cited by 1Web SearchBibTeXDownload
69EDSC: efficient density-based subspace clustering. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. CIKM 2008, 1093-1102. Cited by 3Web SearchBibTeXDownload
68Pleiades: Subspace Clustering and Evaluation. Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl. ECML/PKDD (2) 2008, 666-671. Cited by 1Web SearchBibTeXDownload
67The TS-tree: efficient time series search and retrieval. Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl. EDBT 2008, 252-263. Cited by 6Web SearchBibTeXDownload
66Efficient similarity search using the Earth Mover's Distance for large multimedia databases. Ira Assent, Marc Wichterich, Tobias Meisen, Thomas Seidl. ICDE 2008, 307-316. Cited by 3Web SearchBibTeXDownload
65OutRank: ranking outliers in high dimensional data. Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl. ICDE Workshops 2008, 600-603. Cited by 3Web SearchBibTeXDownload
64Ranking multimedia databases via relevance feedback with history and foresight support. Marc Wichterich, Christian Beecks, Thomas Seidl. ICDE Workshops 2008, 596-599. Web SearchBibTeXDownload
63INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. ICDM 2008, 719-724. Cited by 4Web SearchBibTeXDownload
62Extended Query Refinement for Medical Image Retrieval. Thomas Martin Deserno, Mark Oliver Güld, Bartosz Plodowski, Klaus Spitzer, Berthold B. Wein, Henning Schubert, Hermann Ney, Thomas Seidl. J. Digital Imaging (21): 280-289 (2008). Cited by 6Web SearchBibTeXDownload
61Morpheus: interactive exploration of subspace clustering. Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl. KDD 2008, 1089-1092. Cited by 1Web SearchBibTeXDownload
60Clustering multidimensional sequences in spatial and temporal databases. Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl. Knowl. Inf. Syst. (16): 29-51 (2008). Cited by 3Web SearchBibTeXDownload
59Mobile Mining and Information Management in HealthNet Scenarios. Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Müller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt. MDM 2008, 215-216. Cited by 1Web SearchBibTeXDownload
58SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl. PAKDD 2008, 40-52. Cited by 1Web SearchBibTeXDownload
57Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. Marc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl. SIGMOD Conference 2008, 199-212. Cited by 1Web SearchBibTeXDownload
56IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. Christoph Brochhaus, Thomas Seidl. SSDBM 2008, 598-604. Web SearchBibTeXDownload
55Binäre Suche. Thomas Seidl, Jost Enderle. Taschenbuch der Algorithmen 2008, 7-13. Web SearchBibTeXDownload
2007
54Clicks: An effective algorithm for mining subspace clusters in categorical datasets. Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl. Data Knowl. Eng. (60): 51-70 (2007). Cited by 21Web SearchBibTeXDownload
53AttentionAttractor: efficient video stream similarity query processing in real time. Ira Assent, Ralph Krieger, Thomas Seidl. ICDE 2007, 1509-1510. Web SearchBibTeXDownload
52DUSC: Dimensionality Unbiased Subspace Clustering. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. ICDM 2007, 409-414. Cited by 26Web SearchBibTeXDownload
51Subspace outlier mining in large multimedia databases. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. Parallel Universes and Local Patterns 2007. Web SearchBibTeXDownload
50VISA: visual subspace clustering analysis. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. SIGKDD Explorations (9): 5-12 (2007). Cited by 10Web SearchBibTeXDownload
49Efficient Index Support for View-Dependent Queries on CFD Data. Christoph Brochhaus, Thomas Seidl. SSTD 2007, 57-74. Cited by 2Web SearchBibTeXDownload
48IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing. Christoph Brochhaus, Thomas Seidl. VLDB 2007, 1354-1357. Web SearchBibTeXDownload
2006
47Efficient multi-step query processing for EMD-based similarity. Ira Assent, Thomas Seidl. Content-Based Retrieval 2006. Web SearchBibTeXDownload
46Adaptable Distance Functions for Similarity-based Multimedia Retrieval. Ira Assent, Marc Wichterich, Thomas Seidl. Datenbank-Spektrum (19): 23-31 (2006). Web SearchBibTeXDownload
45Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search. Christoph Brochhaus, Marc Wichterich, Thomas Seidl. EDBT 2006, 204-221. Cited by 1Web SearchBibTeXDownload
44Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. Ira Assent, Andrea Wenning, Thomas Seidl. ICDE 2006, 11. Cited by 16Web SearchBibTeXDownload
43Spatial Multidimensional Sequence Clustering. Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl. ICDM Workshops 2006, 343-348. Cited by 3Web SearchBibTeXDownload
2005
42Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server. Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze. BTW 2005, 67-86. Cited by 2Web SearchBibTeXDownload
41Efficient interval management using object-relational database servers. Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze. Inform., Forsch. Entwickl. (20): 121-137 (2005). Cited by 1Web SearchBibTeXDownload
40CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl. KDD 2005, 736-742. Cited by 19Web SearchBibTeXDownload
39Object-Relational Spatial Indexing. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl, Jost Enderle. Spatial Databases 2005, 49-80. Cited by 5Web SearchBibTeX
38Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases. Jost Enderle, Nicole Schneider, Thomas Seidl. VLDB 2005, 385-396. Cited by 3Web SearchBibTeXDownload
2004
37CVDB 2004 Panel: Future Applications and Solutions. M. Tamer Özsu, Jean Carrive, Sébastien Gilles, Izabela Grasland, Roger Mohr, Thomas Seidl. CVDB 2004, 67-68. Web SearchBibTeXDownload
36Nearest Neighbor Search on Multimedia Indexing Structures. Thomas Seidl. CVDB 2004, 2. Cited by 1Web SearchBibTeXDownload
35A Cost Model for Spatial Intersection Queries on RI-Trees. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl. DASFAA 2004, 331-338. Cited by 3Web SearchBibTeXDownload
34Efficient Similarity Search for Hierarchical Data in Large Databases. Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl. EDBT 2004, 676-693. Cited by 47Web SearchBibTeXDownload
33Efficient Similarity Search in Large Databases of Tree Structured Objects. Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl. ICDE 2004, 835. Cited by 1Web SearchBibTeXDownload
32Joining Interval Data in Relational Databases. Jost Enderle, Matthias Hampel, Thomas Seidl. SIGMOD Conference 2004, 683-694. Cited by 22Web SearchBibTeXDownload
2003
31The Paradigm of Relational Indexing: a Survey. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl. BTW 2003, 285-304. Cited by 14Web SearchBibTeXDownload
30Spatial Data Management for Virtual Product Development. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Matthias Renz, Thomas Seidl. Computer Science in Perspective 2003, 216-230. Cited by 2Web SearchBibTeXDownload
29Effective Similarity Search on Voxelized CAD Object. Hans-Peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl. DASFAA 2003, 27-36. Cited by 35Web SearchBibTeXDownload
28Spatial Query Processing for High Resolutions. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl. DASFAA 2003, 17-26. Cited by 11Web SearchBibTeXDownload
2002
27Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl. J. Intell. Inf. Syst. (19): 207-230 (2002). Cited by 1Web SearchBibTeXDownload
26A Cost Model for Interval Intersection Queries on RI-Trees. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl. SSDBM 2002, 131-141. Cited by 10Web SearchBibTeXDownload
2001
25Adaptable Similarity Search Using Vector Quantization. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl. DaWaK 2001, 317-327. Cited by 2Web SearchBibTeXDownload
24DIVE: Database Integration for Virtual Engineering. Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl. ICDE Demo Sessions 2001, 15-16. Cited by 10Web SearchBibTeX
23Spatial Data Management for Computer Aided Design. Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl. SIGMOD Conference 2001, 614. Cited by 11Web SearchBibTeXDownload
22Object-Relational Indexing for General Interval Relationships. Hans-Peter Kriegel, Marco Pötke, Thomas Seidl. SSTD 2001, 522-542. Cited by 14Web SearchBibTeXDownload
21Interval Sequences: An Object-Relational Approach to Manage Spatial Data. Hans-Peter Kriegel, Marco Pötke, Thomas Seidl. SSTD 2001, 481-501. Cited by 28Web SearchBibTeXDownload
2000
20Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. IEEE Trans. Knowl. Data Eng. (12): 45-57 (2000). Cited by 49Web SearchBibTeXDownload
19Managing Intervals Efficiently in Object-Relational Databases. Hans-Peter Kriegel, Marco Pötke, Thomas Seidl. VLDB 2000, 407-418. Cited by 70Web SearchBibTeXDownload
1999
18Bioinformatik - Aktuelles Schlagwort. Rolf Backofen, François Bry, Peter Clote, Hans-Peter Kriegel, Thomas Seidl, Klaus U. Schulz. Informatik Spektrum (22): 376-378 (1999). Web SearchBibTeXDownload
17Nearest Neighbor Classification in 3D Protein Databases. Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl. ISMB 1999, 34-43. Cited by 99Web SearchBibTeXDownload
163D Shape Histograms for Similarity Search and Classification in Spatial Databases. Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl. SSD 1999, 207-226. Cited by 281Web SearchBibTeXDownload
15Adaptable Similarity Search in Large Image Databases. Thomas Seidl, Hans-Peter Kriegel. State-of-the-Art in Content-Based Image and Video Retrieval 1999, 297-317. Cited by 4Web SearchBibTeX
1998
14Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract). Thomas Seidl. Datenbank Rundbrief (21): 96 (1998). Cited by 13Web SearchBibTeX
13Approximation-Based Similarity Search for 3-D Surface Segments. Hans-Peter Kriegel, Thomas Seidl. GeoInformatica (2): 113-147 (1998). Cited by 36Web SearchBibTeXDownload
12Similarity Search in 3D Protein Databases. Thomas Seidl, Gabi Kastenmüller, Hans-Peter Kriegel. German Conference on Bioinformatics 1998. Cited by 24Web SearchBibTeX
11Fast Nearest Neighbor Search in High-Dimensional Space. Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. ICDE 1998, 209-218. Cited by 119Web SearchBibTeXDownload
10A Multistep Approach for Shape Similarity Search in Image Databases. Mihael Ankerst, Hans-Peter Kriegel, Thomas Seidl. IEEE Trans. Knowl. Data Eng. (10): 996-1004 (1998). Cited by 35Web SearchBibTeXDownload
9Optimal Multi-Step k-Nearest Neighbor Search. Thomas Seidl, Hans-Peter Kriegel. SIGMOD Conference 1998, 154-165. Cited by 302Web SearchBibTeXDownload
8Improving Adaptable Similarity Query Processing by Using Approximations. Mihael Ankerst, Bernhard Braunmüller, Hans-Peter Kriegel, Thomas Seidl. VLDB 1998, 206-217. Cited by 39Web SearchBibTeXDownload
1997
73D Similarity Search by Shape Approximation. Hans-Peter Kriegel, Thomas Schmidt, Thomas Seidl. SSD 1997, 11-28. Cited by 21Web SearchBibTeXDownload
6Efficient User-Adaptable Similarity Search in Large Multimedia Databases. Thomas Seidl, Hans-Peter Kriegel. VLDB 1997, 506-515. Cited by 160Web SearchBibTeXDownload
1995
5Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu. BTW 1995, 373-382. Web SearchBibTeX
4Solvent Accessible Surface Representation in a Database System for Protein Docking. Thomas Seidl, Hans-Peter Kriegel. ISMB 1995, 350-358. Web SearchBibTeXDownload
3A 3D Molecular Surface Representation Supporting Neighborhood Queries. Thomas Seidl, Hans-Peter Kriegel. SSD 1995, 240-258. Cited by 8Web SearchBibTeXDownload
1994
2Supporting Data Mining of Large Databases by Visual Feedback Queries. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. ICDE 1994, 302-313. Cited by 73Web SearchBibTeXDownload
1993
1Visual Feedback in Querying Large Databases. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. IEEE Visualization 1993, 158-165. Cited by 26Web SearchBibTeXDownload
from DBLP and Google Scholar
References
1. ^ Untitled Document - Retrieved 2013-05-13 - details
2. ^ ICDE 2005 Demo Program Committee - Retrieved 2012-01-19 - details
3. ^ ICDE 2005 Call for Demonstrations - Retrieved 2012-01-19 - details
4. ^ VLDB 2005 * Full Program - Retrieved 2011-04-18 - details
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