| 2011 |
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| 40 | On the distinctiveness of tags in collaborative tagging systems. André Gohr, Alexander Hinneburg, Myra Spiliopoulou, Ricardo Usbeck. WIMS 2011, 62. Web SearchBibTeXDownload |
| 2010 |
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| 39 | Ranked Set Search in Medline Documents. Kristin Mittag, Alexander Hinneburg. GI Jahrestagung (2) 2010, 758-763. Web SearchBibTeX |
| 38 | Visually Summarizing the Evolution of Documents under a Social Tag. André Gohr, Myra Spiliopoulou, Alexander Hinneburg. KDIR 2010, 85-94. Web SearchBibTeX |
| 2009 |
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| 37 | Visualizing Clustering Results. Alexander Hinneburg. Encyclopedia of Database Systems 2009, 3417-3425. Web SearchBibTeXDownload |
| 36 | Topic Evolution in a Stream of Documents. Andrè Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou. SDM 2009, 859-872. Cited by 2Web SearchBibTeXDownload |
| 2008 |
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| 35 | LWA 2007. Alexander Hinneburg. KI (22): 71-72 (2008). Web SearchBibTeX |
| 2007 |
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| 34 | An 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 |
| 33 | Fast Approximate Duplicate Detection for 2D-NMR Spectra. Björn Egert, Steffen Neumann, Alexander Hinneburg. DILS 2007, 139-155. Web SearchBibTeXDownload |
| 32 | An 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 |
| 31 | Bayesian Folding-In with Dirichlet Kernels for PLSI. Alexander Hinneburg, Hans-Henning Gabriel, Andrè Gohr. ICDM 2007, 499-504. Cited by 5Web SearchBibTeXDownload |
| 30 | DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. Alexander Hinneburg, Hans-Henning Gabriel. IDA 2007, 70-80. Cited by 9Web SearchBibTeXDownload |
| 29 | Duplicate detection of 2D-NMR Spectra. Alexander Hinneburg, Björn Egert, Andrea Porzel. J. Integrative Bioinformatics (4) (2007). Web SearchBibTeXDownload |
| 28 | Clustering using EM-based Hill-Climbing on Kernel Density Estimation. Alexander Hinneburg, Hans-Henning Gabriel. LWA 2007, 44-49. Web SearchBibTeX |
| 27 | Workshop 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 |
| 26 | Analysing 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 |
| 2006 |
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| 25 | An 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 |
| 24 | Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. Karina Wolfram, Andrea Porzel, Alexander Hinneburg. PKDD 2006, 650-658. Cited by 1Web SearchBibTeXDownload |
| 2005 |
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| 23 | Dimension induced clustering. Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas. KDD 2005, 51-60. Web SearchBibTeXDownload |
| 22 | Dimension Induced Clustering. Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas. LWA 2005, 109-110. Cited by 20Web SearchBibTeX |
| 21 | Optimizing Multiple Top-K Queries over Joins. Dirk Habich, Wolfgang Lehner, Alexander Hinneburg. SSDBM 2005, 195-204. Cited by 3Web SearchBibTeX |
| 2004 |
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| 20 | Multiresolution 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 |
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| 19 | Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. Alexander Hinneburg, Dirk Habich. BTW 2003, 207-216. Web SearchBibTeXDownload |
| 18 | Visual 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 |
| 17 | HD-Eye - Visual Clustering of High dimensional Data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. ICDE 2003, 753-755. Web SearchBibTeXDownload |
| 16 | A 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 |
| 15 | Database Support for 3D-Protein Data Set Analysis. Alexander Hinneburg, Wolfgang Lehner. SSDBM 2003, 161-170. Cited by 2Web SearchBibTeXDownload |
| 14 | COMBI-Operator: Database Support for Data Mining Applications. Alexander Hinneburg, Wolfgang Lehner, Dirk Habich. VLDB 2003, 429-439. Cited by 13Web SearchBibTeXDownload |
| 2002 |
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| 13 | Multi-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 |
| 12 | HD-Eye: visual clustering of high dimensional data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. SIGMOD Conference 2002, 629. Cited by 4Web SearchBibTeXDownload |
| 2001 |
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| 11 | On 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 |
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| 10 | Clustering 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 SearchBibTeX |
| 9 | High Dimensional Clustering on Large Data Sets. Alexander Hinneburg. EDBT PhD Workshop 2000. Web SearchBibTeXDownload |
| 8 | Interesting KDD-News from SIGMOD'99. Daniel A. Keim, Alexander Hinneburg. SIGKDD Explorations (1): 117 (2000). Web SearchBibTeX |
| 7 | What Is the Nearest Neighbor in High Dimensional Spaces?. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim. VLDB 2000, 506-515. Cited by 237Web SearchBibTeX |
| 1999 |
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| 6 | HD-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 |
| 5 | Clustering 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 |
| 4 | Clustering Methods for Large Databases: From the Past to the Future. Alexander Hinneburg, Daniel A. Keim. SIGMOD Conference 1999, 509. Cited by 17Web SearchBibTeX |
| 3 | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. Alexander Hinneburg, Daniel A. Keim. VLDB 1999, 506-517. Cited by 223Web SearchBibTeX |
| 1998 |
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| 2 | Detecting 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 |
| 1 | An Efficient Approach to Clustering in Large Multimedia Databases with Noise. Alexander Hinneburg, Daniel A. Keim. KDD 1998, 58-65. Cited by 553Web SearchBibTeX |
