Alexander Hinneburg

Alexander Hinneburg, Rico Preiss, René Schröder: TopicExplorer: Exploring Document Collections with Topic Models. ECML/PKDD (2) 2012: 838-841

Frank Rosner, Alexander Hinneburg, Martin Gleditzsch, Matthias Priebe, Andreas Both: Fast sampling word correlations of high dimensional text data (abstract only). SIGMOD Conference 2012: 866

André Gohr, Alexander Hinneburg, Myra Spiliopoulou, Ricardo Usbeck: On the distinctiveness of tags in collaborative tagging systems. WIMS 2011: 62

Kristin Mittag, Alexander Hinneburg: Ranked Set Search in Medline Documents. GI Jahrestagung (2) 2010: 758-763

André Gohr, Myra Spiliopoulou, Alexander Hinneburg: Visually Summarizing the Evolution of Documents under a Social Tag. KDIR 2010: 85-94

André Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou: Topic Evolution in a Stream of Documents. SDM 2009: 859-872

Alexander Hinneburg: Visualizing Clustering Results. Encyclopedia of Database Systems 2009: 3417-3425

Alexander Hinneburg: LWA 2007. KI 22(1): 71-72 (2008)

Alexander Hinneburg, Björn Egert, Andrea Porzel: Duplicate detection of 2D-NMR Spectra. J. Integrative Bioinformatics 4(1) (2007)

Alexander Hinneburg, Heikki Mannila, Samuli Kaislaniemi, Terttu Nevalainen, Helena Raumolin-Brunberg: How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change. LLC 22(2): 137-150 (2007)

Alexander Hinneburg, Andrea Porzel, Karina Wolfram: An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. BIRD 2007: 424-438

Björn Egert, Steffen Neumann, Alexander Hinneburg: Fast Approximate Duplicate Detection for 2D-NMR Spectra. DILS 2007: 139-155

Sebastian Klie, Lennart Martens, Juan Antonio Vizcaino, Richard G. Côté, Philip Jones, Rolf Apweiler, Alexander Hinneburg, Henning Hermjakob: An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases. German Conference on Bioinformatics 2007: 174-184

Alexander Hinneburg, Hans-Henning Gabriel, André Gohr: Bayesian Folding-In with Dirichlet Kernels for PLSI. ICDM 2007: 499-504

Alexander Hinneburg, Hans-Henning Gabriel: DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. IDA 2007: 70-80

Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann: Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. LWA 2007: 12

Alexander Hinneburg, Hans-Henning Gabriel: Clustering using EM-based Hill-Climbing on Kernel Density Estimation. LWA 2007: 44-49

Sebastian Klie, Alexander Hinneburg, Lennart Martens, Juan Antonio Vizcaino, Richard G. Côté, Philip Jones, Rolf Apweiler, Henning Hermjakob: Analysing latent topics in large-scale proteomics. LWA 2007: 73-80

Alexander Hinneburg (Ed.): LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings. Martin-Luther-University Halle-Wittenberg 2007, isbn 978-3-86010-907-6

Alexander Hinneburg, Andrea Porzel, Karina Wolfram: An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR-Spectra. LWA 2006: 282-289

Karina Wolfram, Andrea Porzel, Alexander Hinneburg: Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. PKDD 2006: 650-658

Stefan Brass, Alexander Hinneburg (Eds.): Tagungsband zum 18. GI-Workshop über Grundlagen von Datenbanken (18th GI-Workshop on the Foundations of Databases), Wittenberg, Sachsen-Anhalt, 6.-9. Juni 2006. Institute of Computer Science, Martin-Luther-University 2006

Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas: Dimension induced clustering. KDD 2005: 51-60

Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas: Dimension Induced Clustering. LWA 2005: 109-110

Dirk Habich, Wolfgang Lehner, Alexander Hinneburg: Optimizing Multiple Top-K Queries over Joins. SSDBM 2005: 195-204

Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: Multiresolution similarity search in image databases. Multimedia Syst. 10(1): 28-40 (2004)

Alexander Hinneburg, Daniel A. Keim: A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5(4): 387-415 (2003)

Alexander Hinneburg, Dirk Habich: Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. BTW 2003: 207-216

Alexander Hinneburg, Daniel A. Keim: Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003: 407-422

Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003: 753-755

Alexander Hinneburg, Wolfgang Lehner: Database Support for 3D-Protein Data Set Analysis. SSDBM 2003: 161-170

Alexander Hinneburg, Wolfgang Lehner, Dirk Habich: COMBI-Operator: Database Support for Data Mining Applications. VLDB 2003: 429-439

Alexander Hinneburg: Density-based clustering in large databases using projections and visualizations. Universität Halle-Wittenberg 2002, pp. 1-96

Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk: Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002: 76-85

Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002: 629

Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434

Daniel A. Keim, Alexander Hinneburg: Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1(2): 117 (2000)

Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt: Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. BIBE 2000: 43-49

Alexander Hinneburg: High Dimensional Clustering on Large Data Sets. EDBT PhD Workshop 2000

Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515

Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics and Applications 19(5): 22-31 (1999)

Daniel A. Keim, Alexander Hinneburg: Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999: 141-181

Alexander Hinneburg, Daniel A. Keim: Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999: 509

Alexander Hinneburg, Daniel A. Keim: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999: 506-517

Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt: Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. German Conference on Bioinformatics 1998

Alexander Hinneburg, Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65