2012
43TopicExplorer: Exploring Document Collections with Topic Models. Alexander Hinneburg, Rico Preiss, René Schröder. ECML/PKDD (2) 2012, 838-841. Web SearchBibTeXDownload
42Fast sampling word correlations of high dimensional text data (abstract only). Frank Rosner, Alexander Hinneburg, Martin Gleditzsch, Matthias Priebe, Andreas Both. SIGMOD Conference 2012, 866. Web SearchBibTeXDownload
2011
41On the distinctiveness of tags in collaborative tagging systems. André Gohr, Alexander Hinneburg, Myra Spiliopoulou, Ricardo Usbeck. WIMS 2011, 62. Web SearchBibTeXDownload
2010
40Ranked Set Search in Medline Documents. Kristin Mittag, Alexander Hinneburg. GI Jahrestagung (2) 2010, 758-763. Web SearchBibTeXDownload
39Visually Summarizing the Evolution of Documents under a Social Tag. André Gohr, Myra Spiliopoulou, Alexander Hinneburg. KDIR 2010, 85-94. Web SearchBibTeX
2009
38Visualizing Clustering Results. Alexander Hinneburg. Encyclopedia of Database Systems 2009, 3417-3425. Web SearchBibTeXDownload
37Topic Evolution in a Stream of Documents. Andrè Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou. SDM 2009, 859-872. Cited by 2Web SearchBibTeXDownload
2008
36LWA 2007. Alexander Hinneburg. KI (22): 71-72 (2008). Web SearchBibTeX
2007
35An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. Alexander Hinneburg, Andrea Porzel, Karina Wolfram. BIRD 2007, 424-438. Cited by 1Web SearchBibTeXDownload
34Fast Approximate Duplicate Detection for 2D-NMR Spectra. Björn Egert, Steffen Neumann, Alexander Hinneburg. DILS 2007, 139-155. Web SearchBibTeXDownload
33An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases. Sebastian Klie, Lennart Martens, Juan Antonio Vizcaino, Richard G. Côté, Philip Jones, Rolf Apweiler, Alexander Hinneburg, Henning Hermjakob. German Conference on Bioinformatics 2007, 174-184. Web SearchBibTeXDownload
32Bayesian Folding-In with Dirichlet Kernels for PLSI. Alexander Hinneburg, Hans-Henning Gabriel, Andrè Gohr. ICDM 2007, 499-504. Cited by 5Web SearchBibTeXDownload
31DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. Alexander Hinneburg, Hans-Henning Gabriel. IDA 2007, 70-80. Cited by 9Web SearchBibTeXDownload
30Duplicate detection of 2D-NMR Spectra. Alexander Hinneburg, Björn Egert, Andrea Porzel. J. Integrative Bioinformatics (4) (2007). Web SearchBibTeXDownload
29How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change. Alexander Hinneburg, Heikki Mannila, Samuli Kaislaniemi, Terttu Nevalainen, Helena Raumolin-Brunberg. LLC (22): 137-150 (2007). Web SearchBibTeXDownload
28Analysing latent topics in large-scale proteomics. Sebastian Klie, Alexander Hinneburg, Lennart Martens, Juan Antonio Vizcaino, Richard G. Côté, Philip Jones, Rolf Apweiler, Henning Hermjakob. LWA 2007, 73-80. Cited by 9Web SearchBibTeX
27Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann. LWA 2007, 12. Web SearchBibTeX
26Clustering using EM-based Hill-Climbing on Kernel Density Estimation. Alexander Hinneburg, Hans-Henning Gabriel. LWA 2007, 44-49. Web SearchBibTeX
2006
25An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR-Spectra. Alexander Hinneburg, Andrea Porzel, Karina Wolfram. LWA 2006, 282-289. Web SearchBibTeXDownload
24Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. Karina Wolfram, Andrea Porzel, Alexander Hinneburg. PKDD 2006, 650-658. Cited by 1Web SearchBibTeXDownload
2005
23Dimension induced clustering. Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas. KDD 2005, 51-60. Web SearchBibTeXDownload
22Dimension Induced Clustering. Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas. LWA 2005, 109-110. Cited by 20Web SearchBibTeX
21Optimizing Multiple Top-K Queries over Joins. Dirk Habich, Wolfgang Lehner, Alexander Hinneburg. SSDBM 2005, 195-204. Cited by 3Web SearchBibTeX
2004
20Multiresolution similarity search in image databases. Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. Multimedia Syst. (10): 28-40 (2004). Cited by 3Web SearchBibTeXDownload
2003
19Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. Alexander Hinneburg, Dirk Habich. BTW 2003, 207-216. Web SearchBibTeXDownload
18Visual interaction to solving complex optimization problems. Alexander Hinneburg, Daniel A. Keim. Data Visualization: The State of the Art 2003, 407-422. Cited by 3Web SearchBibTeX
17HD-Eye - Visual Clustering of High dimensional Data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. ICDE 2003, 753-755. Web SearchBibTeXDownload
16A General Approach to Clustering in Large Databases with Noise. Alexander Hinneburg, Daniel A. Keim. Knowl. Inf. Syst. (5): 387-415 (2003). Cited by 35Web SearchBibTeXDownload
15Database Support for 3D-Protein Data Set Analysis. Alexander Hinneburg, Wolfgang Lehner. SSDBM 2003, 161-170. Cited by 2Web SearchBibTeXDownload
14COMBI-Operator: Database Support for Data Mining Applications. Alexander Hinneburg, Wolfgang Lehner, Dirk Habich. VLDB 2003, 429-439. Cited by 13Web SearchBibTeXDownload
2002
13Multi-Resolution Similarity Search in Image Databases. Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk. Multimedia Information Systems 2002, 76-85. Cited by 4Web SearchBibTeX
12HD-Eye: visual clustering of high dimensional data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. SIGMOD Conference 2002, 629. Cited by 4Web SearchBibTeXDownload
2001
11On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim. ICDT 2001, 420-434. Cited by 281Web SearchBibTeXDownload
2000
10Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt. BIBE 2000, 43-49. Web SearchBibTeXDownload
9High Dimensional Clustering on Large Data Sets. Alexander Hinneburg. EDBT PhD Workshop 2000. Web SearchBibTeXDownload
8Interesting KDD-News from SIGMOD'99. Daniel A. Keim, Alexander Hinneburg. SIGKDD Explorations (1): 117 (2000). Web SearchBibTeX
7What Is the Nearest Neighbor in High Dimensional Spaces?. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim. VLDB 2000, 506-515. Cited by 237Web SearchBibTeXDownload
1999
6HD-Eye: Visual Mining of High-Dimensional Data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. IEEE Computer Graphics and Applications (19): 22-31 (1999). Web SearchBibTeXDownload
5Clustering Techniques for Large Data Sets - from the Past to the Future. Daniel A. Keim, Alexander Hinneburg. KDD Tutorial Notes 1999, 141-181. Cited by 14Web SearchBibTeXDownload
4Clustering Methods for Large Databases: From the Past to the Future. Alexander Hinneburg, Daniel A. Keim. SIGMOD Conference 1999, 509. Cited by 17Web SearchBibTeXDownload
3Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. Alexander Hinneburg, Daniel A. Keim. VLDB 1999, 506-517. Cited by 223Web SearchBibTeXDownload
1998
2Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt. German Conference on Bioinformatics 1998. Web SearchBibTeX
1An Efficient Approach to Clustering in Large Multimedia Databases with Noise. Alexander Hinneburg, Daniel A. Keim. KDD 1998, 58-65. Cited by 553Web SearchBibTeXDownload
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  • Papers cited 1,439 times
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References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ VLDB 2004 Program Committee Members - Retrieved 2011-07-02 - details
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