| 2023 | BTW | Semantic Watermarks for Detecting Cheating in Online Database Exams. | Stefan Brass, Alexander Hinneburg |
| 2022 | SISAP | An Application of Learned Multi-modal Product Similarity to E-Commerce. | My Hong Le, Alexander Hinneburg |
| 2016 | ER | Translating Bayesian Networks into Entity Relationship Models. | Frank Rosner, Alexander Hinneburg |
| 2015 | WSDM | Exploring the Space of Topic Coherence Measures. | Michael Rder, Andreas Both, Alexander Hinneburg |
| 2014 | CIKM | Exploring Document Collections with Topic Frames. | Alexander Hinneburg, Frank Rosner, Stefan Peler, Christian Oberlnder |
| 2014 | DATA | Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research. | Clemens Beckstein, Sebastian Bcker, Martin Bogdan, Helge Bruelheide, H. Martin Bcker, Joachim Denzler, Peter Dittrich, Ivo Grosse, Alexander Hinneburg, Birgitta Knig-Ries, Felicitas Lffler, Manja Marz, Matthias Mller-Hannemann, Martin Winter, Wolf Zimmermann |
| 2012 | SIGMOD | Fast sampling word correlations of high dimensional text data (abstract only). | Frank Rosner, Alexander Hinneburg, Martin Gleditzsch, Matthias Priebe, Andreas Both |
| 2010 | GI | Ranked Set Search in Medline Documents. | Kristin Mittag, Alexander Hinneburg |
| 2010 | IC3K | Visually Summarizing the Evolution of Documents under a Social Tag. | Andr Gohr, Myra Spiliopoulou, Alexander Hinneburg |
| 2010 | IC3K | Visually Summarizing Semantic Evolution in Document Streams with Topic Table. | Andr Gohr, Myra Spiliopoulou, Alexander Hinneburg |
| 2009 | SDM | Topic Evolution in a Stream of Documents. | Andr Gohr, Alexander Hinneburg, Ren Schult, Myra Spiliopoulou |
| 2007 | ICDM | Bayesian Folding-In with Dirichlet Kernels for PLSI. | Alexander Hinneburg, Hans-Henning Gabriel, Andr Gohr |
| 2007 | IDA | DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. | Alexander Hinneburg, Hans-Henning Gabriel |
| 2005 | KDD | Dimension induced clustering. | Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas |
| 2005 | SSDBM | Optimizing Multiple Top-K Queries over Joins. | Dirk Habich, Wolfgang Lehner, Alexander Hinneburg |
| 2003 | BTW | hnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. | Alexander Hinneburg, Dirk Habich |
| 2003 | ICDE | HD-Eye - Visual Clustering of High dimensional Data. | Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk |
| 2003 | VLDB | COMBI-Operator: Database Support for Data Mining Applications. | Alexander Hinneburg, Wolfgang Lehner, Dirk Habich |
| 2003 | SSDBM | Database Support for 3D-Protein Data Set Analysis. | Alexander Hinneburg, Wolfgang Lehner |
| 2002 | SIGMOD | HD-Eye: visual clustering of high dimensional data. | Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk |
| 2001 | ICDT | On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. | Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim |
| 2000 | BIBE | Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. | Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt |
| 2000 | EDBT | High Dimensional Clustering on Large Data Sets. | Alexander Hinneburg |
| 2000 | VLDB | What Is the Nearest Neighbor in High Dimensional Spaces? | Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim |
| 1999 | KDD | Clustering Techniques for Large Data Sets - from the Past to the Future. | Daniel A. Keim, Alexander Hinneburg |
| 1999 | SIGMOD | Clustering Methods for Large Databases: From the Past to the Future. | Alexander Hinneburg, Daniel A. Keim |
| 1999 | VLDB | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. | Alexander Hinneburg, Daniel A. Keim |
| 1998 | KDD | An Efficient Approach to Clustering in Large Multimedia Databases with Noise. | Alexander Hinneburg, Daniel A. Keim |